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Data Architect

RAPP
Chicago, IL, United States
$145K-$175K a year
Full-time

RAPP Chicago is looking for a Data Architect to join our award-winning Technology team.

WHO WE ARE :

We are RAPP - world leaders in activating growth with precision and empathy at scale.

As aglobal, next-generation precision marketing agencywe leveragedata, creativity, technology, and empathyto 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 values diversity and emphasizes personal well-being.

HOW WE DO IT :

At RAPP, our fearless superconnectors help tocreate 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.

YOUR ROLE :

As Data Architect, you will be responsible for defining & maintaining the overall Data Architecture for Marketing Technology Platform.

You will interface with product and cross functional teams to align on design and implementation for integration with various data sources, data analytics and data science initiatives.

You will devise, maintain, and govern data design, data integration and data publishing patterns. This will include process definition and governance of data access, data storage and data security to meet the compliance needs for the client.

You will be expected to provide functional and technical solutions that allow implementation of interactive, data-driven marketing workflows.

YOUR RESPONSIBILITIES :

  • Responsible for overall data architecture for all areas and domains of the enterprise, including data acquisition, data warehouse, data provisioning, and data distribution.
  • Data modeling, designing, implementing, and performance management of data management initiatives.
  • Interface with Clients and business stakeholders to understand their data needs and functional requirements that they need addressed.
  • Conduct analysis of Client's existing Data / MarTech Architecture, identify gaps and propose a strategic roadmap of application / workflow / tool changes that address these gaps.
  • Lead analysis of marketing data and recommend data integration into Campaign and Analytics Management Systems.
  • Analyze Non-Functional requirements pertaining to Data Architecture that the system should support and collaborate with delivery teams on implementation.
  • Implement database technologies and design and implementation of enterprise-level data modeling / data architecture of data warehousing and the support of business intelligence initiatives.
  • Define and document data integration, access and security patterns.

REQUIREMENTS :

  • 12+ years of IT experience, with 5+ years working in Data Architecture roles.
  • Demonstrated experience of working with Relational, NoSQL, Vector Database technologies in AWS (other)cloud environments.
  • Strong experience in Technical / Functional design and Data Architecture.
  • Experience with Data Analytics and mapping it to Marketing Campaigns.
  • Solutions-oriented, Collaborative, and with great people skills.
  • Detail oriented, organized, and with ability to meet deadlines while working several projects simultaneously.
  • Expertise in Data Architecture and Data Governance.
  • Strong documentation skills (source-to-target mappings, CDM, LDM, PDM, etc.).
  • Expertise in designing data solutions on AWS Redshift, DynamoDB and similar technologies.
  • Demonstrate experience with data quality, security and consistency on cloud database.
  • Comfortable with designing the database, data models, data processes, and data warehouse applications using best practices and tools.
  • Rich Experience of designing and implementation of database models (LDM & PDM), data flow diagrams, database schema, DB scripts.
  • Experience with Performance Tuning for database implementations.
  • US Citizens only. US Security Clearance a plus.
  • Hybrid work schedule. Preferably commutable distance to Chicago office location.

PREFERRED :

Experience working in a MarTech environment supporting Email / SMS Marketing Campaigns and Data Driven Decisioning Workflows.

Our hybrid work model :

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.

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health / vision / dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits.

For more information regarding Omnicom benefits, please visit www.omnicombenefits.com . A reasonable estimate of the salary for this role, at the time of posting, is $145,000 - $175,000.

This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to : skill set, experience and training, certifications;

etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

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.

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