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Data Platform Lead
ApprovalMaxData Platform Lead managing and scaling ApprovalMax’s enterprise data platform. Leading data engineering efforts and developing scalable data solutions in a remote-first environment.
Tech Stack
Tools & technologiesAirflowAzureCloudPython
About the role
Key responsibilities & impact- Own and operate the enterprise data platform (Azure Data Lake Gen2 + Databricks).
- Design and maintain scalable data pipelines, ingestion processes, and transformation layers.
- Ensure data reliability, security, governance, and performance across the platform.
- Enable self-service analytics by supporting analysts with robust data models, marts, and tooling.
- Lead development of an AI-ready data platform, including semantic layers and infrastructure for ML/LLM use cases.
- Manage and mentor the Data Engineer, setting technical standards and priorities.
- Drive engineering best practices: CI/CD, testing, observability, and data quality monitoring.
- Oversee platform roadmap, architecture decisions, and cloud cost optimisation.
Requirements
What you’ll need- 5+ years of experience in data engineering or data platform roles, including senior or technical lead responsibilities.
- Strong experience with cloud data platforms (ideally Azure + Databricks).
- Expertise in modern data stack practices (ELT pipelines, dbt, data modelling, data quality frameworks).
- Strong Python and orchestration experience (Airflow, Prefect, Databricks Workflows, or similar).
- Experience building reliable production data platforms with CI/CD, testing, and monitoring.
- Comfortable leading technical decisions and communicating trade-offs to stakeholders.
- Demonstrated use of AI coding agents / LLM-assisted development in engineering workflows.
Benefits
Comp & perks- 26 days PTO + birthday day off
- Performance-based compensation reviews
- Remote office support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata platformdata pipelinesdata ingestiondata transformationdata modellingdata qualityPythonCI/CDELT
Soft Skills
leadershipmentoringcommunicationtechnical decision-making