Data Platform Engineering Leader (Snowflake + Azure)

Hastings Direct; Bexhill-on-Sea; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

£6k car allowance

Flexible hybrid working

4Cs performance bonus

Private medical insurance (PMI)

Life assurance 4x salary & pension up

Health and wellbeing programs

28 days annual leave + bank holidays

Job summary

Hastings Direct is seeking a senior data platform leader to design, build and maintain our Snowflake and Azure platform. You will lead platform engineering, quality and governance delivery teams, delivering projects and BAU in alignment with CIO ways of working and Hastings strategy.

You will drive a Centre of Excellence to support data teams, ensure data quality, security, lineage and observability, and influence decisions beyond technology for the company’s growth.

Qualifications

• Proficiency with cloud data platforms and ETL/ELT technologies.
• Experience with data quality, lineage, observability and metadata management.
• Strong leadership in a data engineering environment.
• Excellent written and verbal communication with diverse stakeholders.

Responsibilities

• Data Platform Operations: manage production ETL/ELT pipelines, security and access controls.
• Data Platform Optimization: ensure cost-efficient delivery within budget and agile constraints.
• Centre of Excellence: establish a data platform CoE to support all Hastings data teams on Snowflake usage.
• Coding Standards: implement and enforce coding standards for high-quality outcomes.

Skills

Snowflake

Azure

CI/CD

Data Platform Engineering

Leadership

Data Governance

Stakeholder Communication

Data orchestration

Problem Solving

Job description

Hastings Direct is seeking a senior data platform leader to design, build and maintain our Snowflake and Azure platform. You will lead platform engineering, quality and governance delivery teams, delivering projects and BAU in alignment with CIO ways of working and Hastings strategy.

You will drive a Centre of Excellence to support data teams, ensure data quality, security, lineage and observability, and influence decisions beyond technology for the company’s growth.