Senior Manager, Data Engineering
About The Position
We are seeking a seasoned data engineering professional to lead our Financial data modeling and data product delivery. Candidates will possess a deep understanding of data architecture and data modeling. They will be responsible for managing a team of data engineers, ensuring timely delivery of projects and providing technical leadership and guidance. This role involves collaborating with other engineering teams, financial analysts, and product owners, taking ownership of the team's work, and influencing the technical strategy and architecture of the platform. The position is a blend of leadership and hands-on technical guidance and requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will lead a dedicated team creating datasets for analytic and financial workloads.
Requirements
- 7 years of applicable experience.
- Understanding of data warehousing concepts, dimensional modeling, and building data marts.
- Strong proficiency in SQL and experience in developing complex queries.
- Experience deploying data pipelines in a cloud environment (GCP, AWS, Azure).
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.
Nice To Haves
- Experience working with healthcare data (Epic, Tuva, or OMOP Models a plus).
- Experience with Financial healthcare: claims, membership, etc
- Knowledge of data governance best practices in a cloud environment.
- Experience with machine learning flows on GCP.
- Experience with data design in BigQuery.
Responsibilities
- Oversee the design and buildout of ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
- Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.
- Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
- Create comprehensive documentation for data pipelines, workflows, and processes.
- Share best practices and mentor junior data engineers.
- Design and architect data infrastructure analytical workloads.
Benefits
- medical
- dental
- vision coverage
- paid time off
- retirement savings options
- wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
