Principal Data Architect

Blue Wolf Digital; Greater London; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a skilled Data Engineer to lead the design and development of complex data models. This role involves mentoring a team of data engineers and collaborating closely with senior management to align strategies. The ideal candidate will possess extensive experience in data engineering, strong communication skills, and hands-on expertise with modern data platforms and tools. Join a dynamic team where your contributions will directly impact the evolution of cutting-edge data solutions, and help shape the future of data management in a thriving SaaS environment.

Qualifications

• 7+ years experience in Data Engineering/Architecture is essential.
• Proven leadership and mentoring abilities within technical teams.

Responsibilities

• Drive design and development of data models across multiple domains.
• Lead and mentor data engineers, fostering technical excellence.

Skills

Data Engineering

Data Architecture

Python

SQL

Databricks

Spark

Dataform

Airflow

GCP Workflows

DevOps Practices

Agile Methodologies

Tools

GCP

AWS

Azure

Docker

Kubernetes

Terraform

Job description

Direct message the job poster from Blue Wolf Digital

Helping the best data candidates find their perfect roles.

Remote (Must be UK based)

Excellent remuneration + bonus

I'm currently working with a SaaS product organisation who are expanding their data engineering team with a key senior hire, working directly with the CDO.

Responsibilities

• Data Ownership: Drive the design, development, and evolution of data models across multiple domains and clients. Serve as an expert in the SaaS platform, ensuring consistency and best practices in all data-related aspects.
• Technical Leadership: Lead and mentor other data engineers, fostering technical excellence and effective use of data platforms. Establish and promote best practices for data engineering within the organisation.
• Client Engagement: Collaborate with client delivery teams to optimise platform usage and drive successful outcomes. Support critical phases like discovery, scoping, and problem resolution.
• Training and Documentation: Develop comprehensive training programs and documentation to scale knowledge sharing within the company. Ensure training materials and guides are up-to-date and accessible to stakeholders.
• Strategic Collaboration: Partner with the Chief Data Officer (CDO), Chief Technology Officer (CTO), Product Director, Head of Product Architecture, and other teams to align on strategy and execution. Contribute to the evolution of the product to support business objectives.

Required Skills

• 7+ years experience in Data Engineering/Architecture (or similar).
• Extensive experience in data engineering, including designing and managing complex data models and solutions.
• Proven leadership and mentoring abilities within technical teams.
• Strong communication skills, with the ability to engage effectively with clients and stakeholders at all levels.
• Hands-on expertise in modern data platforms, tools, and technologies, such as:

- Advanced data modelling - operational and analytical

- Python, SQL

- Databricks, Spark

- Orchestration frameworks such as Dataform, Airflow, and GCP Workflows.

- Modern architecture and cloud platforms (GCP, AWS, Azure)

- DevOps practices

- Data warehouse and data lake design and implementation

- Familiarity with containerization and IaC tools (e.g. Docker, Kubernetes, Terraform).

- Worked within an agile environment (Scrum, Kanban, etc).

• Previous experience in the retail domain is a significant advantage.
• Experience in developing training materials and fostering knowledge sharing.
• A strategic mindset focused on scalability, performance, and innovation.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting