Cint
research technology (ResTech)
Sr.BI&DataArchitect[Fixed-TermContract]
Neural analysis suggests this role is
optimal for mid candidates.
“Sr. BI & Data Architect [Fixed-Term Contract] at Cint. Skills: Databricks, SQL, Data Architecture, BI Semantic Layer. Design Unity Catalog structure. Lead migration of business logic”
What You'll Achieve.
create a governed, secure, and well-documented data environment that serves as a Single Source of Truth; build scalable pipelines without reliance on managed SaaS platforms; maximize performance per dollar; automate testing, validation, and deployment of data models; design data models built for self-service reporting with sub-second dashboard latency; building executive-level dashboards that surface clear, actionable narratives from complex datasets; translate business questions into scalable data solutions; balancing engineering rigor with business impact
Industry & Context.
diagnose exactly why a query is slow and implement the fix; diagnose bottlenecks; reduce data skew; optimize join strategies
What They're Looking For.
Must Have
8+ years in Data Engineering or Data Architecture, deep, hands-on experience in the Databricks ecosystem (Unity Catalog, Delta Lake, SQL Warehouses), Expert-level SQL, distributed computing skills, query optimization, data platform migration, refactoring legacy SQL, migrating from systems such as Snowflake, Redshift, or SQL Server into a Lakehouse architecture, building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines, dimensional modeling (Star and Snowflake schemas), Hands-on Unity Catalog experience, permissions management, data lineage, catalog governance, Delta Lake internals — 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), build and govern a semantic model, Experience with CI/CD pipelines, version control workflows (Git / GitHub Actions or similar)
Nice to Have
dbt Core (OSS) or a similar SQL-based transformation, transformation layer best practices, Databricks Genie Spaces or AII features for natural language querying, supporting embedded analytics or multi-tenant reporting environments, Background in the digital insights, market research, or programmatic technology space
What You'll Do.
Design Unity Catalog structure
Lead migration of business logic
Architect internal transformation framework
Serve as query performance expert
Govern Databricks compute footprint
Build and maintain CI/CD pipelines
Architect semantic layer in Omni
Take on BI Developer role
Partner with cross-functional stakeholders
Translate performance and cost metrics
How You'll Work.
Team & Collaboration
Partner with cross-functional stakeholders across Finance, Sales, Product, Marketing, and Trust & Safety; translate business questions into scalable data solutions; balance the competing needs of different departments while maintaining a unified data standard
Communication Scope
distill complex technical trade-offs into language that lands with non-technical senior stakeholders; Translate performance and cost metrics into clear recommendations for senior leadership
Full Job Description
Who We Are 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. We are feeding the world’s curiosity! Cint is seeking a Senior BI Data Architect (Infrastructure & Optimization) to lead the technical evolution of our data platform for a period of 6-8 Months Contractor. This is a hands-on architecture role at the intersection of data engineering and business intelligence — 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 — this role was built for you. Responsibilities * Design and implement the Unity Catalog structure — Catalogs, Schemas, and Volumes — 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 — analyze Spark execution plans and Spark UI to diagnose bottlenecks, redu
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