Job Description :
Job Title: Big Data Architect
Location: Dallas, TX
Duration: 12+months
Rate: DOE
Job Description:
Minimum work experience:
Over 10 years of engineering and/or software development experience and demonstrable architecture experience in a large organization.
Experience should contain 5+ years of experience of architecture support combined of these environments: warehouse, DataMart, business intelligence, and big data.
5+ years of consulting experience desired
Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, Scala, Kafka, PyScripts, Unix Shell scripts
Experience in architecture and implementation of large and highly complex projects
Deep understanding of cloud computing infrastructure and platforms
History of working successfully with cross-functional engineering teams
Experience in business domains like Retail, Communications, Finance, Consumer goods and Supply Chain
Demonstrated ability to communicate highly technical concepts in business terms and articulate business value of adopting Big Data technologies
Education:
Bachelor’s degree or foreign equivalent required from an accredited institution. Master’s Degree preferred. Will also consider years of progressive experience with a leadership role in Big Data and Data Warehousing at fortune 50 companies in lieu of a Master’s Degree.
Job Responsibilities:
Perform architecture design, data modeling, and implementation of Big Data platform and analytic applications for Infowork’s clients
Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings; bring these insights and best practices to Infoworks Professional Services Practice
Architect and implement complex Big Data Warehouse and Analytic solutions
Understand competing technologies and eloquently demonstrate the leadership of Infoworks in this space to customers
Develop highly scalable and extensible Big Data platforms which enable collection, storage, modeling, and analysis of massive data sets including those from IoT and streaming data
Drive architecture engagement models and be an ambassador for partnership with IT delivery and external vendors.
Effectively communicate complex technical concepts to non-technical business and executive leaders
Lead large and varied technical and project teams
Assist with scoping, pricing, architecting, and selling large project engagements
Review, analyze, and evaluate the scope of the business problems presented and help identify viable technical solutions
Develop ETL and data warehousing solutions with the Infoworks product and services
Drive data warehouse architectural decisions and development standards
Create detailed Architectural design documents and presentation for delivery to Executives and Senior Management
Multi-task across several ongoing projects and daily duties of varying priorities as required
Work with Project teams to review design and development activities and proactively address risks while collaborating with Infoworks Product Engineering
Ensure adherence to published development standards and Hadoop / Infoworks best practices, resulting in consistent and efficient implementation of project components
Ability to make good judgments, decisions, negotiate and good problem solver
Preferred Skills:
Cloud platform technologies such as Microsoft Azure, Amazon Web Services and Google Cloud.
On premises Big Data platforms such as Cloudera, Hortonworks and MapR
Big Data Analytic frameworks and query tools such as Spark, Storm, Hive, Impala
Streaming data tools and techniques such as Kafka, AWS Kinesis, Microsoft Streaming Analytics
ETL (Extract-Transform-Load) tools such as Pentaho or Talend or Informatica); also experience with ELT
Continuous delivery and deployment using Agile Methodologies.
Data Warehouse and DataMart design and implementation
NoSQL environments such as MongoDB, Cassandra and HBase
Data modeling of relational and dimensional databases
Metadata management, data lineage, data governance, especially as related to Big Data
Structured, Unstructured, Semi-Structured Data techniques and processes
Hands on Knowledge of working with Teradata, Netezza, Oracle, DB2 databases
Strong understanding of File Formats – ORC, Parquet, Hadoop File formats.
Strong understanding and hands-on programming/scripting experience skills – UNIX shell, Python, Perl, and JavaScript.
Should have worked on large data sets and experience with performance tuning and troubleshooting.
Experience to Retail, Consumer Goods, Finance and Telco domain is a plus
Experience and desire to work in a fast-paced delivery environment
Should be a proven leader in this space with active participation in industry forums