Manager, Data Engineering
About The Position
The Manager, Data Engineering manages the workflow, assignments, and quality review and oversight of a team of 3–4 data engineers. The role establishes information ingestion standards, development processes, and deployment release schedules, while providing technical guidance and best practices for data design, modeling, and presentation and implementation. The manager also ensures the team’s skills support future success. The position works with business requests to develop effective technical solutions that support consistent enterprise-wide data delivery. It also supports data analysts in best practices for using and querying new data assets and maintains documentation such as ETL source-to-target mappings, data playbooks, and data flow inventories.
Requirements
- Ability to manage and lead a technical team.
- Clear, concise communication skills and ability to explain complex information in business terms.
- Strong data modeling and design abilities.
- Ability to manage multiple complex projects and shifting priorities.
- Desire to keep technical knowledge and skillsets current.
- Extensive knowledge of Snowflake and WhereScape Azure toolsets.
- Knowledge of healthcare data sets, industry-standard data models, and transmission formats such as HL7 and ANSI.
- Knowledge of Master Data Management, data quality, reference data, and related concepts, principles, and toolsets.
- At least 5 years of experience designing and implementing data architecture, including conceptual, logical, physical, and dimensional models.
- At least 2 years of experience with cloud data infrastructure.
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related studies, or equivalent related project experience.
Nice To Haves
- Experience with Azure cloud data infrastructure.
Responsibilities
- Manage assignment, workflow, and oversight processes to ensure the quality, consistency, and timeliness of data engineers’ deliverables.
- Create and maintain standards for data design, modeling, and deployment in Snowflake.
- Provide direction and training to data engineers on foundational applications used in the development lifecycle.
- Assess new data ingestion patterns to improve efficiency and timeliness of data availability.
- Define the data delivery strategy and monitor the data release schedule.
- Guide the data analyst community on best practices for leveraging and querying new data assets.
- Interpret business needs from requests and implement effective technical solutions that support consistent enterprise-wide data delivery.
- Create and maintain ETL source-to-target mapping documents, data playbooks, and data flow inventory documents.
- Ensure the team’s skillsets support future success.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Retirement plan
- Paid time off
- Paid holidays
- Volunteer time off
- Incentive plan
- Tuition reimbursement
- Flexible work environment
- Training and continuing education
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What This Job Offers
Job Type
Full-time
Career Level
Manager
