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MO
Mobility

Senior Data Solution Architect

LocationGurugram, Haryana; Bengaluru, Karnataka
Typefull-time
SenioritySenior
Experience8+ yrs
Company size501–1,000 people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have12
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
Demonstrated experience engaging senior stakeholders (business and technology) and influencing decisions
Excellent communication skills—able to translate between technical and business audiences
Advanced knowledge of data modeling (conceptual, logical, physical), including relational and dimensional techniques
Strong experience with modern cloud data platforms and distributed data systems
Experience with lakehouse/medallion architectures, data products, and/or domain-driven design patterns
Familiarity with data governance, data quality frameworks, and metadata management
Experience with cloud platforms (GCP and AWS) and tools such as BigQuery, Snowflake, PostgreSQL
Understanding of data integration patterns (batch, streaming, API-driven)
Comfortable operating in agile, cross-functional environments with multiple delivery teams
Able to navigate ambiguity and drive clarity in a post-merger, evolving organization
Nice to have1
Experience working with automotive, mobility, or similarly complex data domains
Skills
BigQuery
Snowflake
PostgreSQL
GCP
AWS
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)
Nice to have
•
Experience working with automotive, mobility, or similarly complex data domains
About the company
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!
Legal
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.
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