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TRCD-26-05087
Data Architect (Enterprise Data Platform)
Seeking a senior Data Architect to own enterprise target data architecture, technology direction, standards, and long-term roadmap across multiple systems and domains. The role emphasizes governance (KPIs, guardrails, lineage, cataloging, federated governance such as Unity Catalog), semantic layer architecture for analytics (e.g., Gold layer to Power BI semantic model decisions like DirectLake vs Import), AI/ML integration into enterprise data platforms, and leading legacy-to-cloud migration strategy and platform modernization.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 10 years and Maximum 15 years
Role overview
Why This Role Matters.
Seeking a senior Data Architect to own enterprise target data architecture, technology direction, standards, and long-term roadmap across multiple systems and domains. The role emphasizes governance (KPIs, guardrails, lineage, cataloging, federated governance such as Unity Catalog), semantic layer architecture for analytics (e.g., Gold layer to Power BI semantic model decisions like DirectLake vs Import), AI/ML integration into enterprise data platforms, and leading legacy-to-cloud migration strategy and platform modernization.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
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Enterprise-level architectural ownership across multiple systems, teams, or business domains, not just a single product, application, or data pipeline.
03
Strong involvement in governance and standards, including KPIs, guardrails, data lineage, cataloging, and federated governance frameworks ( Unity Catalog).
04
Experience making architectural decisions around semantic layers, such as Gold-layer to Power BI semantic model design (e.g., DirectLake vs. Import), rather than only developing reports and dashboards.
05
Experience designing and integrating AI/ML capabilities into enterprise data platforms.
06
Proven involvement in planning and leading legacy-to-cloud migrations and defining long-term platform strategies.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Unity Catalog
Required
02
Power BI
Required
03
Power BI semantic model
Required
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DirectLake
Required
05
Import mode
Required
06
semantic layer
Required
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Gold layer
Required
08
data governance
Required
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data lineage
Required
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data catalog
Required
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federated governance
Required
12
enterprise architecture
Required
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target architecture
Required
14
technology standards
Required
15
roadmap
Required
16
legacy-to-cloud migration
Required
17
cloud migration
Required
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AI/ML
Required
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enterprise data platform
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Enterprise data architecture (target architecture, standards, roadmap)
Architecture ownership across multiple systems/teams/domains
Data governance and standards (KPIs, guardrails)
Data lineage and data cataloging
Federated governance frameworks (e.g., Unity Catalog)
Semantic layer architecture (Gold layer / semantic models)
Power BI semantic model architecture decisions (DirectLake vs Import)
Legacy-to-cloud migration planning and platform strategy
Designing/integrating AI/ML capabilities into enterprise data platforms
Preferred
Nice to Have
Lakehouse architecture concepts (bronze/silver/gold layering)
Data mesh concepts (federated governance patterns)
Metadata management and policy-as-code approaches
Cloud data platform reference architectures
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Data Architect (Enterprise Data Platform)
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