Role Description 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. - Own the design and implementation of our Databricks Lakehouse. - Drive the migration of complex legacy SQL into clean, governed pipelines. - Build the semantic layer that powers self-service analytics in Omni. - Design and implement the Unity Catalog structure — Catalogs, Schemas, and Volumes. - 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 through strategic application of various techniques. - Build and maintain CI/CD pipelines to automate testing, validation, and deployment of data models. - Architect the semantic layer in Omni for self-service reporting. - Occasionally take on the BI Developer role, building executive-level dashboards. - Partner with cross-functional stakeholders to translate business questions into scalable data solutions. - Translate performance and cost metrics into clear recommendations for senior leadership. Qualifications - 8+ years in Data Engineering or Data Architecture, with deep, hands-on experience in the Databricks ecosystem. - 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. - Strong command of dimensional modeling (Star and Snowflake schemas). - Hands-on Unity Catalog experience, including permissions management. - 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. Requirements - You think in systems, not just queries. - You are comfortable navigating ambiguity. - You can distill complex technical trade-offs into language that lands with non-technical senior stakeholders. - You are self-directed and ownership-driven. - You can balance the competing needs of different departments. Benefits - #LI-Remote - #LI-JM1 Company Description 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’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®. - Cint acquired Berlin-based GapFish and US-based Lucid, enhancing our global platform. - Cint Group AB (publ), listed on Nasdaq Stockholm, has teams across many global offices.

Role Description 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 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 — 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 - 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 — 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 — 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) — 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). Requirements - You think in systems, not just queries — 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 — 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. Benefits - #LI-Remote - #LI-JM1 Company Description 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’re 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 – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – 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. (www.cint.com)

Role Description The Sr. Commercial Systems Analyst is the global architect of our global Sales and Marketing CRM (Salesforce/SFDC) and plays an integral part of designing commercial models, analysis, and dashboards leveraging data and tools from our tech stack, including Salesforce, Trackwise, Conga/Salesforce CPQ, and BI tools (i.e., Tableau, Pigment). You own the complete lifecycle of commercial analytics and CRM strategy (SFDC), bridging the gap between complex data and executive decision-making. Acting as the connective tissue between Commercial Operations, IT, and the business, you translate business needs into scalable technical solutions. Your goal is to ensure data integrity across our global platforms and to transform raw operational data into the strategic insights and user-centric reporting dashboards that drive our global growth. Duties and Responsibilities - Data-Driven Sales Optimization - Technical Administration: Serve as the hands-on expert for Salesforce, managing configurations, automated flows, security, and overall system health. - Performance Intelligence: Analyze sales performance, pipeline metrics, and forecasting using SFDC, Trackwise, & BI Platforms (Tableau, Pigment, etc.) to structure and translate raw data into actionable performance improvements. - Data Architecture: Architect and streamline end-to-end data integration frameworks to synchronize large scale commercial datasets to ensure single “source of truth” for cross-departmental reporting and commercial decision-making. - Strategic Modeling: Design and maintain multi-dimensional commercial models to assess the impact of market shifts and strategy changes. - KPI Governance: Develop high-visibility reporting and spearhead data hygiene initiatives to ensure integrity across all business systems. - Commercial Process Improvement - Operational Excellence: Optimize end-to-end sales processes—including quoting, contracting, and order flow—while ensuring alignment with pricing and approval controls. - Scalable Standardization: Implement and support standardized workflows within SFDC and collaborate with other internal teams to identify and update other existing tools to drive global commercial efficiency. - Cross-Functional Collaboration - Strategic Partnership: Collaborate with Sales, Marketing, Finance, Customer Service, and Supply Chain to optimize go-to-market strategies and deliver on commercial KPIs. - Executive Visualization: Design dashboards with a tailored UX that simplifies complex data into clear, visual insights for leadership. - SFDC Roadmap & Delivery: Lead the on-time end-to-end rollout of new features, managing everything from initial requirement gathering and external consultants to global user training. - Operational Support: Provide daily troubleshooting and bug-fix management for CRM and CPQ platforms to ensure high system uptime. - Project Alignment: Partner with Commercial Ops and Marketing leaders to prioritize initiatives and lead alignment and execution of requirements, deliverables, and schedule for all departments involved. - Technical Expertise - CRM, CPQ, & BI Mastery: 5+ years of hands-on experience with CRM (Salesforce), CPQ (Conga/Salesforce), and BI (Pigment, Tableau) tools. Must be an expert-level administrator with deep knowledge of Flow Builder, Custom Objects, and Data Architecture. - Advanced Analytics: Expert-level capabilities in Tableau and Excel; experience with EPM tools (Pigment/Anaplan), and multidimensional business modeling is essential. - Technical Literacy: Proficiency in SQL Python for database querying and dashboard coding (both preferred); exposure to ERP systems (QAD) and Quality Management tools (Trackwise) preferred. - Project Leadership: 2+ years of technical project management experience, overseeing the full lifecycle from requirement gathering to UAT and global training. - Commercial & Operational Acumen - Industry Context: Experience working in a regulated environment (Medical Device or MedTech preferred) with specific knowledge of contracting/pricing workflows (capital equipment sales knowledge preferred). - Strategic Communication: Ability to translate complex technical concepts for non-technical stakeholders and executive leadership. - Process Engineering: Proven track record of mapping complex commercial processes and implementing scalable, standardized business solutions with attention to detail. - Execution Mindset: High degree of autonomy and perseverance; able to prioritize multiple high-stakes projects in a fast-paced environment. Qualifications - Bachelor’s degree required; Salesforce certifications are a plus. Benefits - Distalmotion is an equal opportunity employer committed to building a diverse and inclusive workplace.

• Serve as the hands-on expert for Salesforce, managing configurations, automated flows, security, and overall system health. • Analyze sales performance, pipeline metrics, and forecasting using SFDC, Trackwise, & BI Platforms (Tableau, Pigment, etc.) to structure and translate raw data into actionable performance improvements. • Architect and streamline end-to-end data integration frameworks to synchronize large scale commercial datasets to ensure single “source of truth” for cross-departmental reporting and commercial decision-making. • Design and maintain multi-dimensional commercial models to assess the impact of market shifts and strategy changes. • Develop high-visibility reporting and spearhead data hygiene initiatives to ensure integrity across all business systems. • Optimize end-to-end sales processes—including quoting, contracting, and order flow—while ensuring alignment with pricing and approval controls. • Implement and support standardized workflows within SFDC and collaborate with other internal teams to identify and update other existing tools to drive global commercial efficiency. • Collaborate with Sales, Marketing, Finance, Customer Service, and Supply Chain to optimize go-to-market strategies and deliver on commercial KPIs. • Design dashboards with a tailored UX that simplifies complex data into clear, visual insights for leadership. • Lead the on-time end-to-end rollout of new features, managing everything from initial requirement gathering and external consultants to global user training. • Provide daily troubleshooting and bug-fix management for CRM and CPQ platforms to ensure high system uptime. • Partner with Commercial Ops and Marketing leaders to prioritize initiatives and lead alignment and execution of requirements, deliverables, and schedule for all departments involved.