Manager, Data Analytics and Engineering

Role overview Lead a data engineering team responsible for reliable, scalable pipelines and analytical data products. The role combines people management and hands-on technical direction: you’ll guide data infrastructure and delivery while partnering with product, analytics, infrastructure, data science, and business teams to make trusted data available for analysis, AI, and decisions.

Responsibilities - Coach and develop data engineers; oversee hiring, onboarding, performance, and career growth. - Set direction for batch and streaming ingestion, transformation, storage, and analytical models. - Improve system reliability, scalability, performance, cost efficiency, data quality, and observability. - Review designs, architecture decisions, and code, and partner with platform teams on tooling, security, and scale. - Translate business and analytics needs into technical plans, and manage prioritization, sprint planning, delivery commitments, risks, and tradeoffs. - Establish engineering standards, documentation, data contracts, schema practices, and support for governance, privacy, security, and retention.

Requirements - Graduate degree in computer science, mathematics, or a related quantitative field. - 8+ years of data engineering or related experience and 3+ years leading engineers, including hiring, coaching, and delivery accountability. - Strong distributed systems fundamentals and hands-on ability with Python and/or Java; proficiency in SQL and at least one programming language. - Experience with cloud data platforms, orchestration, data modeling, ETL/ELT, and pipeline reliability. - Familiarity with streaming systems, modern warehouses or lakehouses, and analytics engineering tools such as dbt or semantic layers. - Ability to take ownership of ambiguous problems, build teams, and design for correctness, reliability, and operability.

Nice to have Experience with GCP, Airflow or Argo, Kafka, Flink or Spark Streaming, BigQuery, Snowflake, Redshift, Iceberg, data governance, observability, or data quality tools.

Benefits and work setup Candidates based in Atlanta are preferred, and remote candidates elsewhere in the U.S. may be considered. The listed salary range is $215,000–$235,000. Benefits include medical, dental, and vision coverage, retirement matching, an annual bonus, flexible paid time off, paid parental leave, disability benefits, work schedule flexibility, equipment, and career development opportunities.