At a Glance
- Tasks: Lead the engineering delivery for a scalable data integration platform on Google Cloud.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and mentorship.
- Why this job: Shape the future of data integration while working with cutting-edge technologies.
- Qualifications: Experience in data engineering, ETL pipelines, and cloud platforms like GCP.
The predicted salary is between 63000 - 77000 £ per year.
- Job Title
- Technical Lead – Multi-tenant Data Integration Platform (GCP / Airflow)
- Role purpose
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.
Key responsibilities
- Technical leadership & delivery
- Own the technical roadmap for the platform, aligning engineering outcomes to business priorities and operational resilience.
- 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.
- Platform engineering (multi-tenancy & scalability)
- 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.
- Automation, CI/CD and release engineering
- 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.
- Enhance observability across pipelines and services: logging, metrics, alerting, and dashboards; drive measurable improvements in MTTR and change failure rate.
- 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; remove blockers and maintain delivery momentum.
- Mentor engineers through code reviews, design reviews, and structured coaching; foster a culture of continuous improvement.
- Required experience & skills
- 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.
• Solid experience on Google Cloud Platform, such as
- Data services (e. g., Big Query, Cloud Storage, Pub/Sub, Dataflow) and/or container platforms (e. g., GKE, Cloud Run)
- IAM, networking, secrets management, and environment separation
- 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 (e. g., Terraform).
- Experience designing for reliability: retries, idempotency, dead-letter patterns, backpressure handling, and operational resilience.
- Ability to translate complex technical topics for mixed audiences and drive alignment across teams.
Desirable (nice to have)
- Experience implementing or integrating data lineage/metadata management tooling (e. g., Data Catalog-style metadata, Open Lineage, Data Hub, etc.).
- Experience with multi-tenant platforms (tenant isolation models, metadata-driven frameworks).
- Knowledge of data governance concepts (data quality, auditability, retention, access controls).
- Experience integrating with external vendor systems and managing vendor technical dependencies.
- Success measures (what "good" looks like)
- Faster, safer delivery of new integrations via improved automation and CI/CD.
- Measurable improvement in pipeline reliability and operational outcomes (reduced incidents, faster recovery).
- Clear, trusted end-to-end lineage view for key datasets and integrations.
- Consistent engineering standards and a team that's growing capability and confidence over time.
- Working style
A pragmatic, hands-on technical leader who enjoys getting things done, raises engineering standards without slowing delivery, and builds an inclusive team environment where different viewpoints improve outcomes.
Lead Data Architect 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.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Webologix Ltd/ INC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Architect at Webologix Ltd/ INC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Webologix Ltd/ INC.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Architect 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 Lead Data Architect
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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!
✨Showcase Your Projects
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.
