Senior Data Solution Architect

S&P Global; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

S&P Global is seeking a Senior Data Solution Architect to shape and drive our data strategy across a complex ecosystem. You will partner with senior business and technology leaders to define target-state architecture, guiding its execution to enable scalable, governed data products powering analytics and AI.

You will lead strategy, design, and integration across diverse platforms, navigating legacy systems while promoting modern data practices and data product thinking.

Qualifications

• 8+ years designing and delivering large-scale data architectures in complex, enterprise environments.
• Ability to define architecture vision and drive adoption across organizational boundaries.
• Strong communication skills—translate between technical and business audiences.
• Advanced knowledge of data modeling (conceptual, logical, physical).
• Experience with modern cloud data platforms and distributed data systems.
• Experience with lakehouse/medallion architectures and data products.
• Familiarity with data governance, data quality frameworks, and metadata management.
• Hands-on with cloud platforms (GCP and AWS) and tools like BigQuery, Snowflake, PostgreSQL.
• Experience with data integration patterns (batch, streaming, API-driven).
• Able to operate in agile, cross-functional environments.

Responsibilities

• Lead data architecture strategy and roadmap.
• Drive end-to-end architectural design for scalable, secure data architectures.
• Enable data product thinking and domain ownership.
• Partner with senior stakeholders to align priorities and delivery approaches.
• Lead integration across complex ecosystems and guide cross-team data integrations.
• Champion modern data practices including cloud, streaming, and lakehouse architectures.
• Mentor engineers and fellow architects, fostering collaboration and continuous improvement.
• Develop domain depth in automotive and mobility data domains to unlock business value.

Skills

Data architecture

Strategic thinking

Stakeholder management

Communication

Cloud data platforms

Data modeling

Data governance

Tools

BigQuery

Snowflake

PostgreSQL

Job description

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.