Cint
Tech / AI / Software
Sr.BI&DataArchitect[FixedTermContract]
Neural analysis suggests this role is
optimal for mid candidates.
“Sr. BI & Data Architect [Fixed Term Contract] at Cint. Skills: Databricks ecosystem, SQL, distributed computing, query optimization, data platform migration, data transformation workflows, dimensional modeling, Unity Catalog, Delta Lake, BI semantic layer. Design and implement the Unity Catalog structure. Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse”
What You'll Achieve.
build the semantic layer that powers self-service analytics in Omni; design data models built for self-service reporting with sub-second dashboard latency; surface clear, actionable narratives from complex datasets
Industry & Context.
diagnose exactly why a query is slow and implement the fix
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 and distributed computing skills, Demonstrated experience in query optimization and data platform migration, Proven experience building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines, command of dimensional modeling (Star and Snowflake schemas), Hands-on Unity Catalog experience, Fluency with Delta Lake internals, Hands-on experience with Omni or a comparable modern BI semantic layer, Experience with CI/CD pipelines and version control workflows (Git / GitHub Actions or similar)
Nice to Have
Experience with dbt Core (OSS) or a similar SQL-based transformation, Familiarity with Databricks Genie Spaces or AII 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
What You'll Do.
Design and implement the Unity Catalog structure
Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse
Architect our internal transformation framework using open-source tooling
Serve as the resident query performance expert
Govern our Databricks compute footprint
Build and maintain CI/CD pipelines
Architect the semantic layer in Omni
Occasionally take on the BI Developer role
building executive-level dashboards
How You'll Work.
Team & Collaboration
Partner with cross-functional stakeholders across Finance, Sales, Product, Marketing, and Trust & Safety; Success happens together
Communication Scope
Translate performance and cost metrics into clear recommendations for senior leadership; distill complex technical trade-offs into language that lands with non-technical senior stakeholders
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 Fixed-Term Contract. 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 bottlene
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