Company Description NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually. Our Consumer Canvas product takes this data even further — mapping it to the broader U.S. population (250M+ adults) and enabling advanced audience targeting through partners like The Trade Desk, LiveRamp, TransUnion, and more. We are expanding our architecture team to drive the next evolution of Canvas — identity resolution, data enrichment, privacy‑first design, and scalable activation pipelines. Job Description We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant. You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation. This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up - Own the end-to-end architecture of the Consumer Canvas product. - Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows. - Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners). - Define and enforce PII governance, privacy controls, and security best practices. - Translate complex business and technical requirements into scalable architecture. - Support technical teams with architectural guidance and model/structure design. - Participate directly in design, prototyping, and testing cycles within an Agile environment. - Act as a senior technical thought partner, providing mentorship (non‑manager role). Qualifications Must‑Have Skills - 5+ years of experience in Data Architecture or related technical leadership roles. - Hands-on experience with Snowflake (including Data Clean Rooms) and/or Databricks. - Strong SQL and experience with Python, PySpark, and Spark. - Proven experience working with PII data, privacy constraints, and governance frameworks (critical & non‑negotiable). - Data modeling expertise (conceptual, logical, physical). - Experience designing scalable data pipelines and cloud-native architectures. - Strong communication skills and ability to influence cross-functional stakeholders. Nice-to-Have Skills - Experience in Ad-Tech, Martech, Media, Consumer Data, or Identity Ecosystems - Familiarity with Medallion Architecture (Bronze/Silver/Gold). - Azure services (ADF, Azure Data Lake, Azure DevOps). - Containers & orchestration (Docker, Kubernetes). - Experience with audience activation platforms (e.g., Trade Desk, LiveRamp). Education - Bachelor’s degree in Computer Science, Engineering, or a related field required. - Master's degree or certifications (SnowPro, Azure Data Engineer) are a plus. - Equivalent professional experience is fully acceptable in place of formal credentials. You will thrive if you are: - A strategic thinker who enjoys architecting new systems, not just migrating old ones. - Passionate about privacy-first data design and operational excellence. - Skilled at turning ambiguous requirements into elegant architectures. - Excited by large-scale audience data (hundreds of millions of profiles). - Comfortable navigating complex stakeholder environments. Additional Information Why Join NIQ? - Build one of the most influential consumer identity data architectures in the U.S. - Work with cutting-edge cloud technologies (Snowflake, Databricks, identity graph frameworks). - Be part of an innovative team pushing the boundaries of consumer analytics and ad-tech. - Flexible, fully remote work environment. - Global collaboration & career growth opportunities. This role has a market-competitive salary with an anticipated base compensation of the following range: $130,000 - $138,000 USD Yearly. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a Sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support, and more. Our Benefits - Flexible working environment - Volunteer time off - LinkedIn Learning - Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion - Career Site Team: Technology - Compensation: USD 130000 - USD 138000 - yearly

• Design, build, and maintain scalable, high-quality data pipelines supporting both real-time and batch analytics workloads • Develop and optimize ETL/ELT processes using modern cloud data technologies and orchestration tools • Contribute to the design and evolution of lakehouse and warehouse data models that support analytics and reporting needs • Partner with business, design, test, and development teams to understand data requirements and improve data capture strategies • Help lead technical writing initiatives, including goal-setting, planning, and execution • Write, edit, and maintain clear, concise, and well-structured technical documentation • Create and improve documentation standards, organization, and knowledge-sharing processes • Organize and curate documentation to ensure it is intuitive, discoverable, and up to date • Advocate for consistent knowledge sharing across teams and studios • Research and propose improvements to documentation workflows and solutions to existing pain points • Apply modern engineering best practices to ensure reliability, scalability, and data quality across platforms

Role Description As a Data Engineer on the Data Pipeline team, you will build and support modern, large-scale analytics platforms that power data-driven decision-making across the studio. You’ll work hands-on with cloud-based lakehouse and warehouse architectures, designing and maintaining real-time and batch data pipelines that serve business, design, test, and development stakeholders. This role sits at the intersection of data engineering, analytics enablement, and documentation, helping teams not only use data effectively but also understand and trust the systems behind it. You’ll contribute to a culture of test-driven, data-informed development by shaping how data is captured, processed, documented, and shared. Attention to detail, strong engineering fundamentals, and a passion for scalable, modern data architecture are key to success in this role. Responsibilities - Design, build, and maintain scalable, high-quality data pipelines supporting both real-time and batch analytics workloads - Develop and optimize ETL/ELT processes using modern cloud data technologies and orchestration tools - Contribute to the design and evolution of lakehouse and warehouse data models that support analytics and reporting needs - Partner with business, design, test, and development teams to understand data requirements and improve data capture strategies - Help lead technical writing initiatives, including goal-setting, planning, and execution - Write, edit, and maintain clear, concise, and well-structured technical documentation - Create and improve documentation standards, organization, and knowledge-sharing processes - Organize and curate documentation to ensure it is intuitive, discoverable, and up to date - Advocate for consistent knowledge sharing across teams and studios - Research and propose improvements to documentation workflows and solutions to existing pain points - Apply modern engineering best practices to ensure reliability, scalability, and data quality across platforms Qualifications - 5+ years of professional experience working with SQL - 5+ years of experience designing and implementing scalable ETL processes, including data movement and data quality tooling - Hands-on experience with cloud-based data orchestration solutions (e.g., Azure Data Factory or equivalent) - 3+ years of experience with modern big data analytics platforms, including: - Data lakes - Distributed processing frameworks (e.g., Spark) - Columnar storage formats such as Parquet - 2+ years of experience building and supporting cloud-hosted data systems - Strong understanding of data modeling, pipeline reliability, and performance optimization Preferred Qualifications - Experience building data pipelines using cloud-native analytics platforms and services (e.g., data factory tools, analytics warehouses, and Spark-based processing) - Hands-on experience working with Delta Lake and transactional data lake formats - Experience querying and integrating data from high-performance analytics engines (e.g., time-series or log-based systems such as Kusto/Azure Data Explorer) - Exposure to AI/ML-focused data engineering use cases, including: - Feature engineering and feature stores - Model training and serving datasets - Model monitoring and observability pipelines - Experience preparing, governing, and securing datasets for modern AI applications, including: - LLM and RAG workflows - Experimentation and A/B testing - Privacy-aware and compliant data access patterns Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $43 to $45.38 USD/Hourly. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Benefits - Medical, dental, and vision coverage - Flexible Spending Account - 401k program - Competitive PTO offerings - Parental Leave - Opportunities for professional growth and development Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com Location Remote

• Design, configure, and implement data replication between SAP HCM and other SAP systems (e.g., SuccessFactors, EC Payroll, SAP S/4HANA) • Develop and maintain integration interfaces using SAP CPI, including iFlows, adapters, and mappings • Implement, configure, and support both BIB (Business Integration Builder) and PTP (Point to Point) replication scenarios • Lead and execute data migration and transformation activities for legacy-to-SAP and SAP-to-SAP HCM transitions • Lead work in collaborating with other project team members on necessary data transformations to/from SAP SuccessFactors necessary for replication and data migration scenarios • Analyze, map, and transform data between source and target systems ensuring accuracy, consistency, and completeness • Work with stakeholders to understand functional requirements and translate them into scalable technical solutions for the project lifecycle as related to both replications and data • Perform data validation, testing, and quality assurance in coordination with functional teams • Provide integration and data support during cutover, go-live, and post-production phases • Work with other project team members to execute cutover items related to data, replications, and migration per project phase. Including project planning with the project managers • Document integration architecture, interface designs, and migration plans • Ensure compliance with SAP best practices, security standards, and data governance policies