Data Engineer Manager
2 days ago
We're looking for a Data Engineering Manager to lead a team of highly skilled senior data engineers. This leadership role is not only technical, it's strategic and collaborative. The right candidate will have a proven track record in data architecture and solution design, strong interpersonal leadership, and the emotional intelligence to manage change and influence across teams.
What We're Looking For
Must-Have Qualifications
- 7+ years in data engineering with 3+ years in a leadership or solution architecture role.
- Strong experience managing or mentoring senior engineers.
- Track record of designing and delivering large-scale data pipelines using cloud-native tools (AWS preferred).
- Hands-on expertise with:
- Python, SQL, Spark/PySpark
- ETL/ELT orchestration tools like Airflow, dbt, etc.
- Data platforms like Databricks, Snowflake, Kafka, or equivalent.
- Awareness of data governance, quality frameworks, and observability best practices
- Collaborative experience with Data Scientists, Product Managers, and cross-functional teams.
- Excellent communication skills, able to align technical goals with business value.
Preferred
- Background in enterprise-scale data lakehouse architecture.
- Cloud certifications (AWS, Azure, or GCP).
- Experience with graph databases or platforms such as Neo4j.
Why Join Us?
- Impact at scale: Shape how data and AI are built in a high-growth startup environment.
- Technical influence: Work closely with enterprise architecture and senior leadership.
- Autonomy & support: Enjoy startup agility with the backing of a major retailer.
- Culture: A collaborative, forward-thinking team that values trust, creativity, and results.
Compensation
Compensation will be commensurate with experience and aligned with the responsibilities of a leadership role in data engineering. We value transparency and will discuss compensation openly early in the interview process.
Equal Opportunity Statement
We are an equal opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by law.
Applicants must be authorized to work in the U.S.
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