Lead ••••••’s data engineering discipline and oversee data, analytics, and remote data engineers delivering reliable, trusted data for business intelligence and advanced analytics.
Responsibilities:
- Define and drive the vision, roadmap, standards, and engineering practices for data engineering.
- Partner with engineers, product managers, business leaders, and analytics teams to understand data needs and deliver measurable outcomes.
- Prioritize the data engineering roadmap, balancing business priorities, platform modernization, reliability, technical debt, and strategic investments.
- Evaluate tools, architectures, and delivery methods; lead improvements to reliability, speed, and cost efficiency.
- Promote responsible cloud and platform resource use through capacity planning, performance optimization, and cost awareness.
- Own production maturity for trusted data, including monitoring, data freshness, incident response, disaster recovery, reprocessing, runbooks, and support ownership.
Requirements:
- Bachelor’s degree and 8+ years of experience in data engineering or related technical roles.
- Knowledge of data pipeline design, data modeling, ETL/ELT patterns, and data warehousing.
- Proficiency with SQL and at least one programming language used in data engineering.
- Experience with Snowflake, Qlik Replicate, Apache Airflow, or Kafka; DevOps, CI/CD, and infrastructure as code using Terraform.
- Ability to explain technical concepts to non-technical stakeholders and build collaborative relationships across teams.
- Experience in Agile/Scrum environments and engineering process improvement.
- Preferred: master’s degree, Python proficiency, 3+ years of experience with AWS or an equivalent cloud platform, and experience leading, coaching, and developing engineering teams.
Benefits: Fully funded pension plan and 401(k) with up to 5% company match, employee stock purchase plan, paid vacation and holidays, sick time, medical, dental and vision plans, FSA and HSA, disability and life insurance, tuition reimbursement, and an Employee Assistance Program.