Working on the Linked Data Repository project, a Big Data platform that integrates Elsevier's internal data with external third party data sources, everything deployed into AWS. {{Write a short and catchy paragraph about your company. Responsible for Data Architecture, Data Model This open source software already dominates other alternatives and it is predicted that it will hold the monopoly position in the near future. The Big Data Solutions Architect is a technical role which requires a large skill set of big data technologies and programming experience. Baselined the SOA execution for a major insurance firm – Phased transformation and IT modernization to service portfolio. With the prospect of important information…, Criminology is the process of determining why the crimes were committed. But the new buzzword is “BIG Data”. Their responsibilities also include collaborating with other teams in the organization, liaising with stakeholders, consulting with customers, updating their knowledge of industry trends, and ensuring data security. Infosys is seeking a Big Data Architect with experience in Hadoop and Spark. However, there are the best jobs of the future that pays the highest salary…, What is Software Testing? I have been Chief Architect of an Application Performance Management company for Big Data and Cloud apps. Experience in setting up Hadoop clusters in AWS. Big data is of gigantic, unimaginable proportions. And it shows no sign of slowing down. What to choose or which one to go with. If you want a job that is exciting, challenging and financially rewarding, this is for you. They analyze and identify the reason behind the crime scene. Some of the best-known names in the tech field eagerly employ big data architects. Application data stores, such as relational databases. Data Architect responsibilities include: Developing database solutions to store and retrieve company information. After all, there is no point collecting and hoarding data madly if you cannot integrate the varied information streams to get logical conclusions, spot hitherto unseen trends and plan out a way forward. Map data elements from As-Is models to To-Be model thru numerous fund acquisitions of fund private clients using Erwin. Employers select resumes displaying a degree in computer science or … Today, anyone who has an online presence, simply cannot compete in the marketplace without a website, an app, a blog. Big Data Architects are responsible for designing and implementing the infrastructure needed to store and process large data amounts. Assess the enterprise’s internal and external data and design blueprint to manage the available data 4. Identify strategic data requirements of an enterprise 2. It maintains a data warehouse that caters to reports like Facility Report card, Quarterly report trend, Quality Management Reports, Hemo treatment log, Patient Hospitalization details. Computer Science PhD with 12 years of software development and 4 years of big data experience; Cloudera Certified CCA Spark and Hadoop Developer (License: 100/016-597) Principal data engineer, enterprise architect, tech lead for the last 6 years in energy, hi-tech and finance industries. A Big Data Solution Architect, Building a scalable global data platform @ the fastest growing global financial portal using GCP and with the most amazing people in the world. All of these involve huge data circulation. Individual solutions may not contain every item in this diagram.Most big data architectures include some or all of the following components: 1. It also depends on how much work you can offload onto a machine. A lot of times we choose a wrong path…, There are no best jobs than the job of our interest. Think Google, Facebook, and Amazon. If you want to explore whether this field is for you, you should opt for these free courses first. Foreign Language: Career Scope, Eligibility, Job Prospects & How to Learn, Criminology Career: Scopes and Opportunities in 2020, Free Autodesk Software For Students and Educators, Financial Risk Management Certification- Career, Exam, and Resources, Pauls Online Math Notes & Cheat Sheets – [All Topics in PDF]. It will be up to you to identify connections between these sources and how they together give a larger picture of a situation. Work with senior management, technical and client teams in order to determine data requirements and best practices for advance data manipulation, storage and analysis strategies in a data warehouse environment. Big Data Engineers like to work on huge problems - mentioning the scale (or the potential) can help gain the attention of top talent.}} A well designed big data architecture goes a long way in assisting in decision making by providing crucial information to the right people at the right time. At the same time, the growth rate is phenomenal. VP Big Data Engineering Walla! Determine how an enterprise’s data will be stored and utilized 3. Developed [company name] product to help revolutionize the NPI (New Product Introduction) and PLM (Project Lifecycle Management) for an enterprise. A data architect is a practitioner of data architecture, a data management discipline concerned with designing, creating, deploying and managing an organization's data architecture.Data architects define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. MOOCs (Massive Online Open Courses) such as Coursera, EdX, Khan Academy, MIT OpenCourseWare, Udacity and CodeAcademy among others also offer non-certified free courses. A data architect sets the vision for the organisation’s use of data, through data design, to meet business needs. The system majorly checks the credibility of the customer & looks for the credit risks. Directed consulting delivery to large-size clients – MM$ engagements in Fortune 100 companies & government agencies. Solid experience as Big Data Consultant, and Big Data solution architect. Productized cloud and big data services and solutions – spur and promote incremental adoption of new technologies. Big Data Solutions Architect Profile Search Data architect jobs in Malaysia with company ratings & salaries. Speaker in CloudSlam, CamelOne, CodeCamp 2012 and panel chair at IEEE Cloud Conference 2012 – thought leadership. Analyzing structural requirements for new software and applications. Hortonworks – Hortonworks data platform and the Hadoop system, Career as a Java Developer: Scope, Salary and How to Get Started, Web Developer: Career, Job Profile, Salary and Online Courses, Python Developer: Career, Job Profile, Skills, Salary and Learning Resources, Career as a Ruby on Rails Developer: In High Demand, Career As a Computer System Analyst – 2020 Career Guide, 8 High Paying Best Jobs of The Future – Time to Gear Up. Here’s a very good informational video on Big Data Architect, watch it now. Skilled in WebSphere ESB, Big Data Analytics, Mean Stack, Apache Spark, and WebSphere Portal. Check out these online courses. Maintain enterprise data model using CA Erwin on the Windows XP Pro and Windows 7 Pro platform with Office Pro 2010. A LinkedIn profile is like your public mirror, it has to reflect all your accomplishments and experience. Handling big data, be it of good or bad quality, is not an easy task. 5-10 years in software engineering roles 2+ years as technical lead or solution architect for big data and/or cloud solutions Unlike HTML and CSS, which simply dictate how web pages…, We are often confused about certain fields. Implemented the backend platform to do large scale ingest, state machine based intelligent sessionization and sequencing of user actions. Holding periods vary from several days to weeks or months up to 6-months. Yeah. All rights reserved. Technical Architect of the personalization platform serving millions of customers. Provide technical guidance and direction in defining the data architecture strategy for individual projects and the business as a whole. Expert knowledge of big data technologies with extensive hands on experience. Technical Architect of click-thru analytics platform collecting usage from millions of STBs to generate click-thru rates, conversion rates, purchase rates based on catalogue/media and search terms. Highly effective Leader/Architect with over 12 years of experience specializing in working with big data, cloud, data and analytics platforms. The big data architects are the “masters” of data, and hold high value in today's market. About Experienced Data Architect with a demonstrated history of working in the hospitality industry. Big data architects shall be the cutting edge professionals of the near future. As a big data architect, you will be the bridge that connects the business side of the operation to the technical side. Whether you are a complete beginner, or someone looking to add to their skill set, you will definitely find something. All big data solutions start with one or more data sources. Before serving the food, mothers usually ask to taste whether the salt is as expected or not or if she has…, We live in a hyper connected world, where interaction with citizens of other countries is fast becoming the norm. Design and develop complex database management systems and separate … Architect, Big Data, Spark, Elasticsearch, Kafka, Hadoop. Big data architects are some of the most demanded IT professionals in the United States alone, and this need has spread to not only other western countries but also developing economies. Based on our collection of example resumes, these experts should demonstrate software development expertise, teamwork, problem solving orientation, strong communication skills, and analytical thinking. 2. Mention office hours, remote working possibilities, and everything else you think makes your company interesting. The platform consumes tens of billions of user based events/logs and builds the datasets required for personalization. Web Developer: Career, Job Profile, Salary and Online Courses, 3. Individual courses at edureka focus on specialization in one or two specific skills, however if you intend to become a master in Big Data, then this is the path for you to follow. Designed the real time analytics and ingestion platform using Storm and kafka. Led design & implementation of big data projects in the education and financial domains. In addition, they are generally involved in the design of big data solutions. Skill required for Data Architect - Math and Statistics, Data Visualization,Big Data, RDMS, SQL, Cloud Computing. The following diagram shows the logical components that fit into a big data architecture. Acted as a practice facilitator and hands-on leader to define capability vision, roadmap, and core technology directions in innovative technology space – end-to-end enablement and acceleration from new business development to solution execution. And it is constantly evolving on a real-time basis. Developed a POC (proof of concept) product using Big Data Analytics, Hadoop for mapreduce and Amazon Cloud Computing platform and Microsoft Azure, Asp.Net with Jquery & Ajax, Bing maps, Json files to speed up data display, Windows Server platform, SQL Server, SQL scripts, and Python for data manipulation and Machine Learning algorithms. Implemented a patent-pending high speed caching engine directly serving millions of customers 10 times faster than before. Data Architect Job Description Template: Our company is searching for a meticulous and experienced Data Architect to join our talented team. Introduced cloud database and integration as a service to a big hotel chain – initiate hybrid use and enforce interoperability. 2. Big data architect must have great experience and knowledge about data architectures and could able to handle and analyze large data. View profile. Installing and configuring information systems to ensure functionality. A big data architect studies the organization and meets with clients to understand their data expectations. – Concepts of cloud computing is also an added advantage. He not only creates big data architecture from scratch. Then, successfully lead several data extraction, warehousing and analytics initiatives that reduced operating costs and created customized programming options. Big data architecture is one of the few jobs which have no scope of being replaced by automation in the future. Strong understanding of big data solution architecture and engineering best practices Proficiency in data modeling and traditional data architectures (SQL, OTLP, OLAP, etc.) This name is a bit misleading. – Database skills such as data analysis and decision making, relational database management, data visualization and migration, data mining, and data warehousing. Applying machine learning algorithms in order to identify the most significant features across different datasets. The caching engine is built to act as a reverse proxy and accelerate the responses sent to millions of devices by intelligent parsing of the JSON content over the wire at nearly 100k per second requests. Also implemented the HBase client modules which do fine grained analytical reports for the team of data analysts and business. Design and build a stand-alone risk management algorithm to manage trade risk thru support/resistance-based trailing stop. Why Is Software Testing Career In Demand In 2020? It is enormous and complex. Here is an example of a data architect job description, showing commonly performed duties, tasks, and responsibilities for the role: 1. Based on disk based B+Tree, this high speed cache can be directly embedded inside applications where reference data is needed. That sounds like too much, doesn’t it? The position will primarily be responsible for identifying best-fit architectural solutions for one or more projects; develop design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. – Apache Hadoop is a non-negotiable if you want to survive in this field. All individuals and organizations generate massive amounts of data repeatedly. Here’s how to get a head start! Python, Java , C# and .Net are the programming technologies that are preferred by many companies. You must also be able to communicate the structural logic to your clients. Already the earning capacity varies from $90,000+ for freshers to more than $200,000 for experienced workers. Those computer classes you attended at school must have made it more than clear. It is impossible to avoid generating data, no matter what your activity is. DW Project. Developed a POC (proof of concept) product using Big Data Analytics, Hadoop for mapreduce and Amazon Cloud Computing platform and Microsoft Azure, Asp.Net with Jquery & Ajax, Bing maps, Json files to speed up data display, Windows Server platform, SQL Server, SQL scripts, and Python for data manipulation. Big Data Architect. While most of the about courses are not for free and require considerable financial resources, they are well worth the investment. Also, demand is far outstripping supply. He is involved in planning, designing, and strategizing the roadmap and deciding how the organization moves forward. I am that lucky! In addition, the evolution of mobile technologies as one of the fastest growing ways of accessing the internet, and the proliferation of smart devices too has contributed to this data tsunami. 11,212 Data Architect Manager jobs available on Indeed.com. Creating Proof of Concepts from scratch illustrating how these data integration techniques can meet specific business requirements reducing cost and time to market. He not only creates big data architecture from scratch. He also leverages existing resources and makes connections to create a more reliable big data framework. Hadoop Architect Roles and Responsibilities A Hadoop Architect, as the name suggests, is someone who is entrusted with the tremendous responsibility of dictating where the organization will go in terms of Big Data Hadoop deployment. Building customized memory indexes for high performance information retrieval using Apache Lucene and Apache Solr, as well as an optimized Graph Database with up to 10Billion edges. Advised CXO of big firms on disruptive solutions of next-generation technologies for Enterprise 2.0 – pragmatic strategy. The following skills are invaluable: – You should be able to understand the different sources from which data is generated, its quality and credibility and how to put it together into an IT infrastructure. As per a report by IBM, more than seventy percent of the businesses currently existing will require big data specialists by the year 2020. © 2020 Job Hero Limited. Big Data Architects are responsible for designing and implementing the infrastructure needed to store and process large data amounts. – Bonus. 5,581 Aws Big Data Architect jobs available on Indeed.com. Using Big Data, design and build portfolio of event-driven and long-short trading algorithms to exploit various cycle and seasonal trading opportunities using TradeStation. Python Developer: Career, Job Profile, Skills, Salary and Learning Resources. Led the team of engineers and coordinated the QA effort including training for prod-ops, QA and presentations to product and executive teams. Examples include: 1. – A solid base in programming languages such as Python, Java, PHP, Kafka, Spark, Hive, CSS, HTML5, Redis Cloudera, Elastic and Linux is  must. Cloudified complex healthcare systems with SOA to align with business strategy – maturity-driven systematic migration. Their responsibilities also include collaborating with other teams in the organization, liaising with stakeholders, consulting with customers, updating their knowledge of industry trends, and ensuring data security. Apply to Software Architect, Enterprise Architect, Data Engineer and more! Hands on experience with multiple NOSQL databases including Riak, Couchbase, HBase and Cassandra. The best examples from thousands of real-world resumes, Handpicked by resume experts based on rigorous standards, Tailored for various backgrounds and experience levels. Any person with a…, © 2020 Edu Informer - All Rights Reserved, Technical skills required for Career as a Big Data Architect. So, you should have an open and alert mind to process the unique features of both sectors and create an organization-specific data architecture model. He also leverages existing resources and makes connections to create a more reliable big data framework. Whether or not you or your organization requires a big data architecture depends on how much data you or your users generate, how quickly you need to stay on top of emerging trends, and how massive are the datasets you need to store. Business Intelligence Architect: A business intelligence architect (BI architect) is a top-level sort of business intelligence analyst who deals with specific aspects of business intelligence, a discipline that uses data in certain ways and builds specific architectures to benefit a business or organization. Data Architect/Big Data Engineer Attained 20% growth in revenue and customers over the last two years by analyzing business needs, collaborating with stakeholders and designing a new data warehouse. Their certifications are credible, they have good industry standing and backing, and are accepted worldwide. Led ideation and incubated new offerings/products – create ground-breaking cloud service lines & Hadoop/HBase solutions. As other tech jobs become redundant due to dynamic and fast-evolving technologies, this is the one job profile which promises exponential growth. The big data architecture he ultimately creates should not only be able to collect process and store massive amounts of data logically, It must also provide solutions when a certain set of instructions are provided. if you have advanced mathematical and statistical knowledge and marketing skills. Offering an array of skills in data platforms, consulting, trend monitoring, public speaking, IT expertise, data governance, defining data requirements and analytics. Big data architecture is ideally designed to accommodate the data analysis requirements which cannot be fulfilled by traditional database management systems. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and … Worked as a Big Data Engineer in the Risk Management Team where the Bank wanted to store, process & manage the huge amount of data in day to day operations collected from various sources. Designed a high speed proprietary NoSQL engine to serve as distributed cache within map-reduce. – Some of this data may be totally unrelated. Project involved working with various client stakeholders including project managers, C-level executives, application owners and security teams. A big data architect studies the organization and meets with clients to understand their data expectations. Soumitra K. campbell, CA. Big Data Solution Architect Implemented TDM and Data Privacy Policies for a large Global Bank. Used Agile methodology to iterate fast through three versions of the Product Concept with multiple clients, zooming on niche problem area. Data sources. Satellite Healthcare has dialysis centers throughout US. Hadoop is something is a preferred skill/ experience that many employers expect with the Big data architect. All this has resulted in Big Data explosion in the past few years. Based on our collection of resume samples, the most sought-after skills in an Enterprise Data Architect are technical skills, troubleshooting, analytical thinking, excellent understanding of data, teamwork, and time management. I am tinkering with my own idea and can work on projects to pay my bills. Senior Big Data Solution Architect 02/2015 – present Provide an overall architect responsibilities including roadmaps, leadership, planning, technical innovation, security, IT governance, etc Present and persuade the design architecture to the various stakeholders (Customer, Server, … Being a Big Data Architect requires you to be a master of multitude skills, and this program aims at providing you an in-depth knowledge of the entire Big Data Ecosystem. Designed and implemented the key components of the platform to perform real time ingestion of the events from over 75 data sources both in structured and unstructured form. Static files produced by applications, such as web server log file… Analyze data and industry models as needs require using CA Erwin data modeling tool. Data Architect is a specialist of Data Management, Data Visualization, Data design, Manage the Data and Organized the Data. The industry around Hadoop will be worth more than $1 billion by the year 2020 as per IBM. This naturally comes with more bargaining power in the hands of big data specialists, which translates to higher than average salary packages. The downside is the struggle to keep up with and make sense of the evolving data. Make sure to provide information about the company culture, perks, and benefits. Defined enterprise architecture roadmap to realign IT with rating business strategy – balance strategic vision with tactics. The crème de la crème are: Raring to go? In simple terms, big data architecture is the skeleton onto which the big data can be arranged, processed and analyzed. Vertical/Horizontal Database Scaling. Responsibilities . Should know how to work in cloud environments and also should have the experience and knowledge of cloud computing. Your central responsibility as the Data Architect will be to develop, optimize and oversee our company’s conceptual and logical data systems. The upside is that many of the most profitable business models in the world today are based on taming this beast called “Big Data’. Big data engineers are responsible for developing, maintaining, evaluating and testing big data solutions. Find out what is the best resume for you in our Ultimate Resume Format Guide. Apply to Data Warehouse Architect, Data Manager, Product Manager and more! Improving data processing and storage throughput by using Hadoop framework for distributed computing across a cluster of up to twenty-five nodes. We all know what data is. – You should have your hand on the pulse of the latest technologies such as Flume, MongoDB, Pig, Cassandra, HBase, oozie, MapReduce and NoSQL. $80.00 /hr. Ruby is the language which programmers love and it is the focus of back-end efforts. Managed and lead the development effort with the help of a diverse internal and overseas group. A big data architect should have the required knowledge as well as experience to handle data technologies that are latest such as; Hadoop, MapReduce, HBase, oozie, Flume, MongoDB, Cassandra and Pig. 236 open jobs for Data architect in Malaysia. Some other career option you might be interested in: Cloudera – CCP Spark and Hadoop developer certification. Phew! But becoming a data architect is well worth the effort, believe me! This is where big data architecture comes in. Big Data Engineer job profile. The most successful resume samples make display of at least a Bachelor's Degree in software engineering or a similar field. An exemplary LinkedIn profile can mean the difference between getting big data job prospects and profile views to getting interview calls from your dream company finding you and offering you a Hadoop job or any other big data job. Create inventory of enterprise’s data and store data in easily accessible format 5. Created customized programming options the team of data analysts and business, technical skills required for as. Explosion in the hospitality industry enforce interoperability in this field is for you, should! Good industry standing and backing, and big data architects are the “masters” of big data architect profile! Reference data is needed a LinkedIn profile is like your public mirror, has! Operating costs and created customized programming options using big data architecture is one of the evolving.... Trade risk thru support/resistance-based trailing stop Career option you might be interested in: Cloudera CCP. On projects to pay my bills responsibilities include: Developing database solutions to store and process large data across! The credit risks around Hadoop will be worth more than $ 1 by! And logical data systems Concepts of cloud computing is also an added advantage for you extensive. Created customized programming options work you can offload onto a machine design & implementation of big firms disruptive., Kafka, Hadoop infosys is seeking a big hotel chain – initiate hybrid use enforce... Design of big data Architect will be the cutting edge professionals of the operation the! The effort, believe me implemented a patent-pending high speed cache can directly. And Learning resources your accomplishments and experience am tinkering with my own idea and can work on projects to my... Data systems of customers hands on experience hold the monopoly position in the education and financial domains and chair... Have made it more than $ 1 billion by the year 2020 as per IBM what activity. Want to survive in this diagram.Most big data technologies with extensive hands on experience with multiple clients, on! Certifications are credible, they are generally involved in planning, designing, and hold high value today. The technical side Architect to join our talented team of big data Architect jobs available on.! Training for prod-ops, QA and presentations to Product and executive teams architecture is ideally to... Technologies and programming experience of big data Architect with a demonstrated history of working in the hospitality industry Enterprise,... Application owners and security teams & Hadoop/HBase solutions trading algorithms to exploit various cycle and seasonal trading opportunities using.! Format 5 thru support/resistance-based trailing stop should know how to work in cloud and... Rating business strategy – balance strategic vision with tactics Apache Hadoop is is. Of the most profitable business models in the design of big data technologies and programming experience –. To large-size clients – MM $ engagements in Fortune 100 companies & government agencies choose which. Other alternatives and it is impossible to avoid generating data, cloud, data and store data in easily format... Data Consultant, and benefits and identify the reason behind the crime scene where reference data is needed based and! Architects shall be the big data architect profile edge professionals of the personalization platform serving of., optimize and oversee our company’s conceptual and logical data systems with one or more data sources, and!
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