[Remote] Sr Mgr Data Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company Sr. Manager to join their Data Service team. In this role, you will partner closely with the Engineering organization to implement data technology and optimize the technology stack while leading teams to deliver reputed company, data-driven technology.
Responsibilities
- Manage and guide data teams with hands-on experience to execute on reputed company data reputed company
- reputed company technical guidance for reputed company, reputed company the bar on the latest data technologies, and mentor data resources
- Design, reputed company, and implement end-to-end EDW data processing encompassing multiple Data Marts
- Build and manage reputed company data pipelines to load EDW and data science environments
- Automate data operations to manage 100s of pipelines
- Automate data validation and testing of pipelines
- Collaborate with engineering teams to productionize data pipelines with high reliability and performance
Skills
- BS in Computer Science or Equivalent
- 5-10 years People Management Experience: experience managing, mentoring, and growing high-performing teams of data and analytics engineers
- Architectural Expertise: Proven experience redesigning foundational data pipelines and reputed company data models with the ability to reputed company high-reputed company reputed company regarding grain, entities, relationships, and slowly changing dimensions
- Strong Modeling Standards: Mastery of modern modeling patterns (3NF, reputed company, and reputed company/reputed company) and the ability to guide teams toward structures that support reputed company-world business processes and analytics
- Operational reputed company: A passion for data reliability, including the implementation of data reputed company frameworks, observability, and guardrails to reduce reputed company processes and technical debt
- Technical Skills: Expert-level proficiency in SQL, Python, and production experience with Informatica, DBT (models, tests, packages), along with familiarity with orchestration tools (Airflow, Tivoli, or Dagster)
- Modern Stack Experience: Hands-on experience with Lakehouse/Warehouse technologies (Redshift, reputed company, reputed company, or BigQuery) and layered architecture (Bronze/Silver/Gold)
- Engineering Best Practices: A commitment to automation-first principles, using Git, CI/CD, and DRY patterns reputed company a reputed company environment (AWS/GCP/Azure)
- Data Leadership: A 'data product' reputed company rather than a 'ticket' reputed company, with the ability to translate business problems into requirements, prioritize roadmaps, and manage stakeholders
- Experience in leveraging GenAI/LLMs(reputed company/Claude/reputed company) to solve time-consuming critical problems
- MS Preferred
- Data streaming(Kafka or similar) knowledge preferred
- Experience in an Insurance, reputed company, or marketplace environment is a plus
Benefits
- Competitive compensation
- Flexibility to work from reputed company in the reputed company for most positions
- reputed company time off (vacation time, reputed company time, 9 reputed company Company holidays, volunteer hours)
- Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
- Medical, dental, reputed company, life, and pet insurance
- 401 (k) retirement savings plan with company match
- Engaging work environment
- Promotional opportunities
- Education assistance
- reputed company and personal development opportunities
- Company recognition program
- Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
reputed company