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Lead Data Architect

2 months ago

Clayton le Moors, Lancashire, United Kingdom Frasers Group Full time

About Frasers Group

Frasers Group is a global retail leader, transforming the industry through digital innovation and unique customer experiences. Our goal is to serve consumers with the world's best sports, premium, and luxury brands.

We're elevating the retail experience for our customers by providing flexible and convenient ways to pay across our collection of established brands, including Studio, Sports Direct, FLANNELS, USC, Frasers, and GAME.

Our Financial Services division is the next chapter of elevation for the Frasers Group. We're driven to change the future of retail, embracing challenges along the way.

Job Overview

The Lead Data Engineer will lead the design, development, and maintenance of the organisation's data infrastructure. This role involves overseeing the efficient, reliable, and secure collection, storage, and processing of data, which is critical for enabling data-driven decision-making across FGFS.

The Team Lead will help manage and mentor a team of data engineers, working collaboratively with cross-functional teams to implement data solutions, optimise data pipelines, and drive the overall data strategy, ensuring data integrity, security, and accessibility across FGFS.

Main Responsibilities

  • Lead the design, development, and maintenance of scalable and efficient data pipelines for extracting, transforming, and loading data from multiple sources.
  • Oversee the team's efforts in building and optimising data pipelines, ensuring alignment with organisational goals and performance standards.
  • Manage and mentor a team of data engineers, providing guidance, support, and professional development opportunities.
  • Diagnose and resolve complex data-related issues within the platform, ensuring prompt and effective support and maintenance of data systems.
  • Implement best practices for monitoring and alerting to proactively address potential issues.
  • Liaise between the data engineering team, spoke analysts, and other key stakeholders to align data solutions with business needs.
  • Ensure the team adheres to data governance policies, regulatory requirements, and data security best practices.
  • Create comprehensive documentation of data engineering processes.
  • Regularly report on system performance, data quality, and pipeline health to senior management and other stakeholders.

Qualifications

Required:

  • Knowledge of enterprise data warehousing, data integration, and Business Intelligence (BI) reporting.
  • Experience with cloud-based data warehouse solutions, including Snowflake.
  • Knowledge of DBT and different ingest tools, such as Stitch, Fivetran, and Snowpipe.
  • Significant SQL experience.
  • Experience leading and mentoring junior members of a team.
  • Comfortable with high-pressure environments and tight deadlines.
  • Strong understanding of Data Governance best practice.

Desirable:

  • Working knowledge of Python.
  • Experience modelling data for Microsoft PowerBI.
  • Knowledge of best practice for data modelling and architecture.
  • Prior Financial Services experience.

What We Offer

$120,000 - $150,000 per annum, depending on experience, plus benefits package.