Komplytek
Data Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹3,000,000 – ₹3,500,000 / year
Location:
Navi Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
7 September 2026
What they need
Summary
We are seeking an accomplished Data Architect with 12+ years of total experience and minimum 5 years of relevant data architecture experience (banking domain required). The role demands mastery in data warehousing, ETL/ELT, data modeling, analytics, and cloud data platforms, with proven ability to design scalable, multiregional data systems and modernize enterprise data landscapes.
Education Qualification (Mandatory): BE/BTech/MCA/MTech/MSc in CS/IT/EC
Additional Qualification (Preferred): MBA Certifications (Mandatory):
- AWS Certified Data Analytics Specialty / AWS Data Architect
- Microsoft Certified: Azure Data Engineer Associate
- Google Cloud Professional Data Engineer (GCP)
Location: Navi Mumbai
Core Responsibilities
- Architect and design enterprise data warehouses, data lakes, and ETL/ELT pipelines.
- Lead data modeling, reconciliation, storage/capacity planning, and lineage tools adoption.
- Drive migration of logical data warehouses across platforms (IBM, Teradata, SAP, Oracle).
- Deliver multiregional, scalable data systems with strong governance and compliance.
- Implement analytics and reporting solutions (Power BI, Tableau, Cognos).
- Integrate AI/ML data systems, LLMbased RAG systems, Vector DBs, and semantic search.
- Modernize legacy data systems into cloud/hybrid architectures.
- Apply CI/CD practices for data pipelines and governance frameworks.
- Collaborate with stakeholders to align data architecture with enterprise strategy.
- Utilize EA tools (Mega Hopex, ABACUS) for architecture modeling and compliance.
Key Skills (Mandatory)
- Data warehousing (Netezza, Cloudera, Lakehouse)
- ETL/ELT pipeline design and optimization
- Data modeling, visualization, and reconciliation
- Relational DBs (Oracle, SQL Server, Postgres) and NoSQL (MongoDB)
- Big data platforms (Cloudera, Netezza)
- Analytics tools (Power BI, Tableau, Cognos)
- Data governance and migration strategies
- AI/ML data systems integration
- EA tools (Mega Hopex, ABACUS)
- Cloud data platforms (AWS, Azure, GCP)
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