Data Architect/Data Lead in Sheffield

Data Architect/Data Lead in Sheffield

Sheffield Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of a scalable data integration platform on Google Cloud using Apache Airflow.
  • Company: Join a forward-thinking tech company focused on innovative data solutions.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative team culture with strong mentorship and career advancement opportunities.
  • Why this job: Make a real impact by shaping the future of data integration and automation.
  • Qualifications: Experience in data engineering, ETL pipelines, and cloud environments is essential.

The predicted salary is between 63000 - 77000 £ per year.

Lead the engineering delivery and technical direction for a scalable, multi-tenant data integration platform on Google Cloud Platform (GCP). The platform uses Apache Airflow to orchestrate ETL pipelines and enables reliable movement of data from source systems through the platform into downstream vendor systems. You’ll guide the team in building high-quality ETLs, improving automation and deployment pipelines, and implementing end-to-end data lineage with clear, visual traceability of data movement.

Lead solution design for new integrations and platform capabilities, balancing pace with long-term maintainability.

Set engineering standards (coding, testing, documentation, observability, security) and ensure consistent adoption across the team.

Provide hands-on contribution where needed (critical ETLs, framework components, design spikes, performance fixes).

  • ETL orchestration & data movement

Design and develop robust ETL pipelines orchestrated in Apache Airflow, including scheduling strategies, dependency management, retries, backfills, and processing.

Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability.

Drive data quality controls (validation, reconciliation, exception handling) and operational runbooks.

Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns.

Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs.

Improve build and deployment automation for both platform services and Airflow DAGs (versioning, packaging, promotions, approvals).

Implement CI/CD best practices: automated testing, static analysis, security scanning, and controlled rollout/rollback strategies.

Reduce manual toil by investing in self-service onboarding, templates, and engineering enablement tooling.

  • Data lineage & observability

Implement end-to-end data lineage (source → platform → vendor), including metadata capture and a visual representation that supports auditability and faster incident resolution.

  • Stakeholder management & ways of working

Partner with product owners, data owners, architects, vendors, and governance teams to shape requirements and manage delivery expectations.

Lead agile ceremonies and engineering planning; Mentor engineers through code reviews, design reviews, and structured coaching.

Proven experience as a Technical Lead / Lead Engineer delivering data engineering or integration platforms in cloud environments.

Strong hands-on experience building production-grade ETL/ELT pipelines and orchestration with Apache Airflow.

Strong software engineering foundations: Python, APIs, configuration management, testing strategy, and performance tuning.

CI/CD expertise (pipeline tooling, release controls, automated quality gates) and Infrastructure-as-Code experience.

Experience implementing or integrating data lineage/metadata management tooling (e.g., Data Catalog-style metadata, OpenLineage, DataHub, etc.).

Knowledge of data governance concepts (data quality, auditability, retention, access controls).

Data Architect/Data Lead in Sheffield employer: Webologix Ltd/ INC

As an Oracle Application Technical Consultant, you will thrive in a dynamic work environment that champions innovation and collaboration. Our company offers competitive benefits, a supportive culture that prioritises employee growth, and opportunities to work on cutting-edge finance transformation projects using Oracle ERP. Located in a vibrant area, we provide a unique chance to engage with diverse stakeholders while enhancing your technical skills in a forward-thinking team.

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Contact Details:

Webologix Ltd/ INC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect/Data Lead in Sheffield

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When you find a suitable opening like Data Architect/Data Lead at Webologix Ltd/ INC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Architect/Data Lead in Sheffield

Google Cloud Platform (GCP)
Apache Airflow
ETL Pipeline Development
Data Integration
Data Lineage Implementation
CI/CD Best Practices
Python

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Webologix Ltd/ INC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Webologix Ltd/ INC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Webologix Ltd/ INC

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Webologix Ltd/ INC!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.