Data Platform Lead

ApprovalMax

full-time

Posted on: 4/14/2026

Location Type: Remote

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About the role

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.

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

Applicant 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