Data Architect
4 days ago
Position Title:
Data Architect
Experience:
8+ Years
Location:
Mumbai - Onsite
About the Role
We are looking for a highly skilled
Data Architect
to lead the design and implementation of scalable, governed data models and architectures on cloud platforms. The ideal candidate will define canonical entities, conformed dimensions, and fact models to enable robust analytics, while ensuring compliance with enterprise standards and data governance best practices.
Key Responsibilities
- Lead the design and implementation of
end-to-end data architecture
on AWS, Azure, or GCP. - Define and implement
3NF canonical models, dimensional/star schema models
for analytics. - Collaborate with stakeholders to gather requirements and build logical & physical data models.
- Establish and enforce
data modelling, metadata management, and governance standards
. - Guide Data Engineers in developing ingestion pipelines aligned with architecture.
- Translate
legacy BI/ETL logic
(Informatica, Cognos, TM1, etc.) into modern data architectures. - Ensure
data lineage, traceability, and auditability
are embedded into all designs. - Implement
data quality frameworks, validation, and reconciliation processes
. - Support BI & application developers in consuming curated data models.
- Conduct
performance reviews
of data models and optimize for scalability & cost. - Maintain detailed
architecture and design documentation
.
Required Skills & Qualifications
- 8+ years in
data architecture and data modelling
. - Proven experience with
canonical models (3NF), dimensional modelling, and star schemas
. - Strong expertise in
SQL
and relational design. - Hands-on with
cloud data services
(AWS Glue, Redshift, S3, DMS, or Azure/GCP equivalents). - Experience translating
legacy ETL/BI logic
into modern pipelines. - Strong understanding of
data governance, security, compliance frameworks
. - Familiarity with
DevOps practices (CI/CD, Git, automated deployments)
. - Strong cross-functional collaboration and excellent communication skills.
Desirable Skills
- Knowledge of
AI/ML for metadata management, data quality, or model optimization
. - Experience using
AI-assisted coding/modelling tools
(ChatGPT, GitHub Copilot). - Familiarity with
data catalog & lineage tools
(Collibra, Alation, AWS Glue Data Catalog). - Industry experience in
manufacturing, supply chain, or financial reporting
.
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