Responsibilities
- Design and Develop scalable data pipelines across Transactional and Analytics platforms established in the Hybrid (on-premise & cloud) environment.
- Partner with other competency leads/developers, Data scientists, Data Analysts, Data stewards and support project planning, technical design, development, and solution deployment functions.
- Partner with the Enterprise Architecture functions to adopt established technology standards integration patterns.
- Architect optimal design of DataLake/ Datawarehouse environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
- Supports Analytics by providing right data with right quality at the right time by leveraging the PenFed Next generation Data & Analytics platforms.
- Ensure Data Architecture and Data governance principles well adopted in the developed solutions.
- Develop innovative solutions to complex business and technology problems. Ability to think strategically about business, product, and technical challenges in an enterprise environment.
- Lead, mentor, and develop development resources and provide project related directions
- Acting in a technical SME role, support development, QA, and production support teams in SDLC and operational activities
- Identify opportunities in business processes, system capabilities, and delivery methodologies for continuous improvement, as applicable
- Collaborate with cross-functional teams to understand data requirements and translate them into scalable performant technical solutions
- Implement data integration and ETL and ELT processes to ensure data quality, accuracy, and integrity of data.
Licenses and Certifications
- AWS Solution Architect Associate/ Big Data Specialty certification is preferred.
- Snowflake certification is preferred.