Director, Technology Data
Quick Summary
RAPP Chicago is looking for a Director, Technology Data to join our award-winning Technology team.
We are seeking a highly experienced Data Architect to guide our organization in designing, implementing, and optimizing enterprise data architecture.
Experience with AI/ML data readiness and MLOps integration. Experience with data mesh architectures, event-driven systems, and microservices patterns Strong background in data privacy, security, and compliance frameworks Previous experience in…
We are RAPP – world leaders in activating growth with precision and empathy at scale.
As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.
We foster an inclusive workplace that emphasizes personal well-being.
At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.
Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.
Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets
We are seeking a highly experienced Data Architect to guide our organization in designing, implementing, and optimizing enterprise data architecture. This role is critical in shaping data strategy, ensuring scalability, and enabling advanced analytics and AI-driven solutions. As a Data Architect, you will provide thought leadership, evaluate current systems, and recommend best practices to maximize the value of data assets.
Responsibilities
~1 min read- →Strategic Data Architecture
- →Define and implement enterprise-wide data architecture strategy aligned with business goals.
- →Develop and maintain data models (conceptual, logical, physical) that support operational and analytical needs.
- →Evaluate emerging data technologies and recommend adoption strategies.
- →Consulting & Advisory
- →Assess current state of data platforms, pipelines, and governance frameworks.
- →Provide expert recommendations to improve scalability, security, and performance.
- →Advise executives and stakeholders on data modernization initiatives (e.g., cloud migration, data mesh, data fabric).
- →Data Management & Governance
- →Establish standards for data quality, metadata management, lineage, and master data.
- →Partner with data governance teams to ensure compliance with regulatory and security requirements (e.g., GDPR, CCPA, HIPAA).
- →Solution Design & Delivery
- →Design and oversee implementation of data warehouses, data lakes, and streaming platforms.
- →Ensure integration across structured, semi-structured, and unstructured data sources.
- →Define reference architectures and reusable frameworks for data pipelines and APIs.
- →Collaboration & Leadership
- →Partner with business units, engineering teams, and analytics teams to ensure solutions meet requirements.
- →Mentor and guide data engineers, analysts, and architects on best practices.
- 7+ years of experience in data architecture, data engineering, or related fields.
- Proven expertise in cloud platforms (AWS, Azure, GCP) and modern data stack technologies (Snowflake, Databricks, Apache Spark, Kafka, etc.)
- Strong knowledge of data modeling, ETL/ELT, and API-based integrations.
- Strong programming skills in multiple languages such as Python, SQL, Scala, or Java
- Solid understanding of data governance, security, and compliance frameworks.
- Experience with enterprise data governance, security frameworks, and regulatory compliance (GDPR, CCPA, etc.)
- Demonstrated ability to translate business requirements into technical solutions and communicate complex concepts to non-technical stakeholders
Requirements
~1 min read- Experience with AI/ML data readiness and MLOps integration.
- Experience with data mesh architectures, event-driven systems, and microservices patterns
- Strong background in data privacy, security, and compliance frameworks
- Previous experience in consulting or agency environments serving multiple clients and use cases
“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”
NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.
RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.
Location & Eligibility
Listing Details
- Posted
- February 13, 2026
- First seen
- March 26, 2026
- Last seen
- June 3, 2026
Posting Health
- Days active
- 68
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- June 3, 2026
Signal breakdown
Please let Rapp know you found this job on Jobera.
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