At a Glance
- Tasks: Lead the evolution of our data platform and optimise performance for impactful decision-making.
- Company: Cint, a pioneering research technology company with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a globally recognised team committed to innovation and employee growth.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: 8+ years in Data Engineering, expert SQL skills, and experience with Databricks.
The predicted salary is between 60000 - 80000 β¬ per year.
Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world's largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.
Cint is seeking a Senior BI Data Architect (Infrastructure & Optimization) to lead the technical evolution of our data platform for a period of 8 Months Fixed-Term Contract. This is a hands-on architecture role at the intersection of data engineering and business intelligence β one where your decisions will directly shape how the business operates and makes decisions at scale.
You will own the design and implementation of our Databricks Lakehouse, drive the migration of complex legacy SQL into clean, governed pipelines, and build the semantic layer that powers self-service analytics in Omni. If you are energized by performance optimization, dimensional modeling, and infrastructure that lasts β this role was built for you.
Responsibilities
- Design and implement the Unity Catalog structure β Catalogs, Schemas, and Volumes β to create a governed, secure, and well-documented data environment that serves as a Single Source of Truth across the organization.
- Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse, refactoring tightly coupled SQL into modular, maintainable, and performant code.
- Architect our internal transformation framework using open-source tooling (Delta Live Tables or custom Python/SQL Spark pipelines), building scalable pipelines without reliance on managed SaaS platforms.
- Serve as the resident query performance expert β analyze Spark execution plans and Spark UI to diagnose bottlenecks, reduce data skew, and optimize join strategies on large-scale datasets.
- Govern our Databricks compute footprint through strategic application of Z-Ordering, Liquid Clustering, partition design, and Serverless SQL Warehouse configurations to maximize performance per dollar.
- Build and maintain CI/CD pipelines (GitHub Actions or equivalent) to automate testing, validation, and deployment of data models.
- Architect the semantic layer in Omni β designing data models built for self-service reporting with sub-second dashboard latency.
- Occasionally take on the BI Developer role, building executive-level dashboards that surface clear, actionable narratives from complex datasets.
- Partner with cross-functional stakeholders across Finance, Sales, Product, Marketing, and Trust & Safety to translate business questions into scalable data solutions.
- Translate performance and cost metrics into clear recommendations for senior leadership, balancing engineering rigor with business impact.
Qualifications
Qualifications Required
- 8+ years in Data Engineering or Data Architecture, with deep, hands-on experience in the Databricks ecosystem (Unity Catalog, Delta Lake, SQL Warehouses).
- Expert-level SQL and distributed computing skills β you can diagnose exactly why a query is slow and implement the fix across Spark execution plans, joins, and data skew scenarios.
- Demonstrated experience in query optimization and data platform migration, including refactoring legacy SQL and migrating from systems such as Snowflake, Redshift, or SQL Server into a Lakehouse architecture.
- Proven experience building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines.
- Strong command of dimensional modeling (Star and Snowflake schemas) and how to apply these patterns within a Lakehouse environment.
- Hands-on Unity Catalog experience, including permissions management, data lineage, and catalog governance.
- Fluency with Delta Lake internals β OPTIMIZE, Z-Order, Liquid Clustering, VACUUM, and file management strategies.
- Hands-on experience with Omni or a comparable modern BI semantic layer (Looker, Metabase, Superset) β you can build and govern a semantic model, not just consume one.
- Experience with CI/CD pipelines and version control workflows (Git / GitHub Actions or similar).
Essential Qualities
- You think in systems, not just queries β you design for reuse, performance, and longevity.
- You are comfortable navigating ambiguity and can move from whiteboard to working pipeline without waiting for perfect specifications.
- You can distill complex technical trade-offs into language that lands with non-technical senior stakeholders.
- You are self-directed and ownership-driven β you treat the data platform as your own product.
- You can balance the competing needs of different departments while maintaining a unified data standard.
Nice to Have
- Experience with dbt Core (OSS) or a similar SQL-based transformation framework; familiarity with transformation layer best practices is a strong asset.
- Familiarity with Databricks Genie Spaces or AI/BI features for natural language querying.
- Experience supporting embedded analytics or multi-tenant reporting environments.
- Background in the digital insights, market research, or programmatic technology space.
Additional Information
Our Values
- Collaboration is our superpower
- We uncover rich perspectives across the world
- Success happens together
- We deliver across borders.
- Innovation is in our blood
- We're pioneers in our industry
- Our curiosity is insatiable
- We bring the best ideas to life.
- We do what we say
- We're accountable for our work and actions
- Excellence comes as standard
- We're open, honest and kind, always.
- We are caring
- We learn from each other's experiences
- Stop and listen; every opinion matters
- We embrace diversity, equity and inclusion.
Weβre proud to be recognised in Newsweek's 2025 Global Top 100 Most Loved Workplaces, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish β the world's largest ISO certified online panel community in the DACH region β and in January 2022, completed the acquisition of US-based Lucid β a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney.
Locations
Sr. BI & Data Architect [Fixed - Term Contract] in Basingstoke, Hampshire employer: Cint
Cint is an exceptional employer that fosters a culture of collaboration, innovation, and accountability, making it an ideal place for professionals seeking to make a meaningful impact in the field of research technology. With a commitment to employee growth and recognition as one of Newsweek's Global Top 100 Most Loved Workplaces, Cint offers a dynamic environment where your contributions directly shape the future of data architecture and business intelligence. Located in vibrant cities like London, you will enjoy a diverse work culture and the opportunity to work alongside talented individuals from around the globe.
StudySmarter Expert Adviceπ€«
We think this is how you could land Sr. BI & Data Architect [Fixed - Term Contract] in Basingstoke, Hampshire
β¨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that arenβt even advertised yet.
β¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and achievements. This gives potential employers a taste of what you can do beyond your CV.
β¨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to BI and data architecture. The more you rehearse, the more confident you'll feel when itβs showtime!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Sr. BI & Data Architect [Fixed - Term Contract] in Basingstoke, Hampshire
Some tips for your application π«‘
Tailor Your CV:Make sure your CV is tailored to the role of Sr. BI & Data Architect. Highlight your experience with Databricks, SQL, and data architecture. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Remember, we love curiosity and innovation!
Showcase Your Projects:If you've worked on relevant projects, donβt hold back! Share specific examples that demonstrate your expertise in data migration, query optimization, and building data pipelines. We want to see your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it shows youβre keen on joining our team!
How to prepare for a job interview at Cint
β¨Know Your Data Inside Out
Before the interview, dive deep into your experience with Databricks and SQL. Be ready to discuss specific projects where you optimised performance or migrated complex data. This will show that you not only understand the tools but can also apply them effectively.
β¨Speak Their Language
Familiarise yourself with Cint's business model and how they leverage data for insights. Use examples from your past work that align with their needs, like building self-service analytics or optimising data pipelines. This will demonstrate your understanding of their goals.
β¨Prepare for Technical Questions
Expect to be quizzed on query optimisation and data architecture principles. Brush up on your knowledge of dimensional modelling and the specifics of Unity Catalog. Practising explaining complex concepts in simple terms will help you communicate effectively with non-technical stakeholders.
β¨Show Your Collaborative Spirit
Cint values collaboration, so be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you translated technical requirements into actionable insights for different departments, showcasing your ability to bridge the gap between tech and business.