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 Qualified 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 robust 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)

📌 Data Architect Navi Mumbai
🏢 Komplytek
📍 Navi Mumbai