Senior Manager, Data Engineering
New
J
JobgetherHome energy
Remote position based in the United States.Full-TimeManager
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 10 years of experience in software engineering or data engineering, including 5 or more years managing engineers.
- Required Skills
- PythonSQLSnowflakeData engineeringBigQuerydbt
Requirements
- At least 10 years of software engineering or data engineering experience, including 5 or more years managing engineers.
- A proven record of recruiting engineers, developing talent, building effective teams, and establishing accountability and career growth opportunities.
- Deep experience designing and leading enterprise data architectures, including data warehouses, data modeling, lineage, governance, and architecture review processes.
- Hands-on experience with modern data warehouses and transformation frameworks such as Snowflake, BigQuery, and dbt, alongside strong SQL skills.
- Working proficiency in at least one backend programming language, such as Python, with ability to review code and guide implementation decisions.
- Demonstrated experience using coding agents beyond basic prompting and introducing agentic engineering practices into team workflows.
- Practical knowledge of production APIs, authorization mechanisms, access controls, and secure handling of personally identifiable information.
- A track record delivering complex data platform projects across multiple teams and prioritizing work effectively.
- Experience preparing trusted, governed datasets for AI consumers with traceability from outputs to source data.
- Experience building consensus with stakeholders outside Engineering, particularly in Finance, Capital Markets, and Accounting.
- Experience evaluating technology vendors, negotiating contracts, and managing platform or tooling costs.
- Willingness to complete a background check as a condition of employment.
Responsibilities
- Recruit, coach, and retain data engineers; set expectations, provide feedback, and establish career development paths.
- Translate business objectives into a prioritized data engineering roadmap, communicate trade-offs, and lead cross-functional initiatives.
- Establish and evolve data architecture for ingestion, warehousing, modeling, semantic layers, lineage, and governance.
- Lead architecture reviews, maintain technical standards, and contribute to implementation when needed.
- Ensure data pipelines meet service-level agreements and provide consistent metrics and dependable information.
- Oversee the platform serving layer and APIs, including standards for authorization, access control, privacy, and handling personally identifiable information.
- Build governed, agent-ready data capabilities with traceability to source information.
- Use coding agents and introduce agentic development practices across the team.
- Evaluate data platform providers and engineering tools, negotiate contracts, and monitor expenses.
- Collaborate with Finance, Operations, Sales, Marketing, Product, Accounting, and Capital Markets stakeholders.
View Full Description & ApplyYou'll be redirected to the employer's site
