Industry: Accounting, Finance & Insurance•
11 - 15 years
Posted 151 days ago
Big Data Platform Lead
Provide strategic thought leadership and measurable outcomes in data strategy and insight including data ingestion, data distribution, data governance, business intelligence and business analytics.
?Manage vendors, internal relationships, Proof of Concept and Proof of Technology roadmaps and prioritization.
?Manage and lead big data engineering team and support software development life cycle.
?Develop and implement Big Data strategic roadmap for moving the platform forward in a controlled and cost effective way.
?Work with other Enterprise teams to ensure that the Big Data team is leveraging enterprise-wide assets and supportcapital markets data services application systems.
?Ensure infrastructure, processes and procedures meets information security and operational risk requirements.
?Partner with direct and indirect technology line leaders in long range strategic planning and ensuring integration with enterprise wide technology strategy. This includes experience and the ability to balance all the different considerations and sensitivities with partners and influence positive strategic direction.
?Establish and implement a Hadoop capital markets Data Lake, develop a strategy and gain consensus across key technical leadership through effective communication. Drive the vision to closure through the effective management of goals and objectives.
?10+ years of technology experience
?5+ years of management experience in an IT environment
?10+ years of information technologyexperience
?5 + years of technology management experience
?3+ years of Big Data experience
?3+ years of data modeling experience
?5+ years of experience delivering complex enterprise wide information technology solutions
A BS/BA engineering degree or higher- Prefer Master?s Degree
?ETL (Extract, Transform, Load) Programming experience
?Knowledge and understanding of analytical methods used in: statistics
or predictive modeling methods (regression modeling, clustering, pattern recognition, graphics)
?Knowledge and understanding of data management concepts, process,tools, and environments
?Preferred experience with the following: Data Science: Linear Regression, Classification models like Logistic regression, CART, Random Forest, Text Analytics, Clustering, Optimization techniques
?Big Data: Hive, Pig, Sqoop, Hbase, Spark, Hadoop, Kafka, Storm, Flume, Oozieo DW/BI Architecture: Data Landing, Staging, Foundation, Consumption layer Data Security: Row and Column Level Security, Data Encryption, Reporting and Analytics