CompassX Group Logo

CompassX Group

Data Architect - Data Modeling (1099 contract, Remote, must be based in US)

Reposted 19 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Data Architect will design and implement scalable data models for analytics in Power BI, focusing on Amazon Redshift, while collaborating with data teams and ensuring data governance.
The summary above was generated by AI
CompassX is a boutique business and technology consulting firm. We help Fortune 500 and high-growth clients deliver their most strategic initiatives, from enterprise transformations to digital and data-driven projects. With over 15 years of proven results, we’ve expanded across industries including financial services, pharmaceuticals, aerospace, consumer products, and quick service restaurants.

We are honored to be recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, and previously recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S.

We are seeking a Data Architect (Data Modeling Focus) to support one of our life sciences clients. This consultant will play a pivotal role in designing scalable, well-structured data models that underpin enterprise reporting and analytics. This is an ideal role for someone who thrives at the intersection of data modeling, business domain understanding, and analytics enablement.

You’ll focus on building scalable, well-structured data models that serve as the foundation for enterprise reporting and analytics in an Amazon Redshift and Power BI environment.

What you'll do

  • Design and implement enterprise data models, including star schemas, fact and dimension tables, and semantic models to support analytics in Power BI
  • Build and optimize data architecture within Amazon Redshift, ensuring scalability, performance, and data consistency
  • Develop source-to-target (S2T) mappings, data dictionaries, and lineage documentation for key business domains
  • Translate business and functional requirements into robust data models that support end-to-end reporting
  • Collaborate with data engineers, analysts, and business stakeholders across global teams to ensure model alignment and interoperability
  • Work with a variety of key life sciences data sources to model commercial, sales, marketing, and CRM datasets
  • Define, maintain, and enforce modeling standards, best practices, and architectural patterns

What we're looking for

  • Strong experience in data architecture and data modeling, particularly dimensional and semantic modeling
  • Hands-on experience with Amazon Redshift or a similar cloud data warehouse platform
  • Proficiency in building semantic models in Power BI
  • Strong SQL skills for model development, validation, optimization, and data quality checks
  • Solid understanding of data governance, metadata, and lineage
  • Excellent communication and collaboration skills with both technical and non-technical partners
  • Experience with ERWin or similar data modeling tools
  • Familiarity with SAP S/4HANA, Oracle EPM, and Coupa data structures
  • Exposure to SAP Datasphere, Informatica, or other ETL/ELT platforms
  • Experience working within global or matrixed enterprise environments

Our consultants say CompassX is a place where they can truly find their own path. As part of a smaller firm, they see the impact of their work, have an identity, and know their voice matters. They value the freedom to take the reins of their careers, shape their client work, and maintain a direct line to leadership.

With CompassX’s focus on serving local Southern California clients, consultants not only build lasting relationships but also see the results of their work in the communities where they live.

At CompassX, you won’t just follow a path - you’ll create one.

Top Skills

Amazon Redshift
Power BI
Salesforce
SQL
Veeva

Similar Jobs

57 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Fintech • Mobile • Software • Financial Services
The Senior Data Engineer will design, build, and maintain data solutions for risk management, focusing on data warehousing and pipeline development. They will mentor other engineers and drive data strategy.
Top Skills: AirtableAnsibleApache AirflowApache KafkaCloudFormationDbtGithub ActionsGitlab Ci/CdPythonSnowflakeSQLTerraform
57 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Junior
Junior
Fintech • Mobile • Software • Financial Services
The Mortgage Underwriter reviews mortgage applications, assesses credit risk, evaluates financial documentation, and ensures compliance while managing a high-volume pipeline.
Top Skills: DuLp
57 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Fintech • Mobile • Software • Financial Services
As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.
Top Skills: Apache AirflowArgocdAWSCortexGenerative AiGitlab Ci/CdNode.jsReactSnowflake

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account