Senior Data Solution Architect

Posted Yesterday
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2 Locations
In-Office
Senior level
Automotive • Big Data • Information Technology • Analytics
The Role
Lead enterprise data architecture strategy, target-state design, integration, governance, and roadmap execution across complex ecosystems. Design scalable data platforms, pipelines, models, and products using modern cloud, lakehouse, streaming, and data mesh practices. Partner with senior business and technology stakeholders, guide implementation, mentor engineers and architects, and support data-driven analytics, AI, and operational decision-making.
Summary Generated by Built In

The Team:

As a Senior Data Solution Architect, you will play a pivotal role in shaping and executing the data strategy across Sales Solutions complex data ecosystem. You will partner with senior business and technology leaders to define the target-state architecture and guide its execution—enabling scalable, high-quality, and governed data products that power analytics, AI, and operational decision-making.
You will align business priorities with modern data architecture practices while navigating legacy systems, diverse platforms, and evolving organizational needs.
 

Responsibilities and Impact:

A successful Senior Data Solution Architect will:

Lead data architecture strategy and roadmap

  • Define and evolve enterprise data architecture aligned to business objectives and post-merger integration priorities
  • Translate strategy into actionable architecture patterns, standards, and implementation roadmaps

Drive end-to-end architectural design

  • Design scalable, secure, and reusable data architectures (data platforms, pipelines, and data products)
  • Establish and oversee conceptual, logical, and physical data models across domains

Enable data product thinking

  • Promote and operationalize data products and domain-oriented ownership (e.g., data mesh principles where applicable)
  • Ensure data is accessible, trustworthy, and aligned to consumer needs

Partner with senior stakeholders

  • Engage business, product, and engineering leaders to align on priorities, tradeoffs, and delivery approaches
  • Act as a trusted advisor, influencing decisions across a matrixed organization

Lead integration across complex ecosystems

  • Architect and guide integration of disparate platforms, datasets, and technologies across Sales Solutions
  • Support teams delivering data integrations in agile environments

Champion modern data practices

  • Evaluate and adopt modern data stack capabilities (cloud, streaming, data products, medallion/lakehouse architectures)
  • Balance innovation with practical constraints of legacy environments

Mentor and lead

  • Provide architectural guidance and mentorship to engineers and other architects
  • Foster a culture of collaboration, accountability, and continuous improvement

Develop domain depth

  • Build expertise in automotive and mobility data domains to inform architecture decisions and unlock business value

What We are looking for:

Required Skills:

Experienced architect and strategic thinker

  • 8+ years designing and delivering large-scale data architectures in complex, enterprise environments
  • Proven ability to define architecture vision and drive adoption across organizational boundaries

Strong stakeholder presence

  • Demonstrated experience engaging senior stakeholders (business and technology) and influencing decisions
  • Excellent communication skills—able to translate between technical and business audiences

Deep technical expertise

  • Advanced knowledge of data modeling (conceptual, logical, physical), including relational and dimensional techniques.
  • Strong experience with modern cloud data platforms and distributed data systems

Modern data architecture practitioner

  • Experience with lakehouse/medallion architectures, data products, and/or domain-driven design patterns
  • Familiarity with data governance, data quality frameworks, and metadata management

Hands-on with modern data stack

  • Experience with cloud platforms (GCP and AWS) and tools such as BigQuery, Snowflake, PostgreSQL
  • Understanding of data integration patterns (batch, streaming, API-driven)

Collaborative and adaptable

  • Comfortable operating in agile, cross-functional environments with multiple delivery teams
  • Able to navigate ambiguity and drive clarity in a post-merger, evolving organization

Industry knowledge (preferred)

  • Experience working with automotive, mobility, or similarly complex data domains

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

Skills Required

  • 8+ years designing and delivering large-scale data architectures in complex enterprise environments
  • Experience defining architecture vision and driving adoption across organizational boundaries
  • Experience engaging senior business and technology stakeholders and influencing decisions
  • Excellent communication skills translating between technical and business audiences
  • Advanced knowledge of conceptual, logical, and physical data modeling, including relational and dimensional techniques
  • Strong experience with modern cloud data platforms and distributed data systems
  • Experience with lakehouse or medallion architectures, data products, and/or domain-driven design patterns
  • Familiarity with data governance, data quality frameworks, and metadata management
  • Experience with GCP and AWS
  • Experience with BigQuery, Snowflake, and PostgreSQL
  • Understanding of batch, streaming, and API-driven data integration patterns
  • Ability to work in agile, cross-functional environments with multiple delivery teams
  • Ability to navigate ambiguity and drive clarity in a post-merger organization
  • Experience in automotive, mobility, or similarly complex data domains
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The Company
3,500 Employees
Year Founded: 2026

What We Do

Mobility Global is an independent automotive intelligence company, formerly S&P Global Mobility. It provides data, analytics, connected technologies, forecasts, and expertise to organizations and consumers across the vehicle lifecycle, helping them build, buy, sell, maintain, and understand vehicles. Its offerings support decisions involving demand, risk, supply chains, sales, marketing, ownership, sustainability, and broader automotive market strategy with confidence and clarity.

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