Data Architect

Komplytek; Navi Mumbai; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Komplytek seeks an accomplished Data Architect with 12+ years total experience and at least 5 years in data architecture within the banking domain, to design scalable, multiregional data ecosystems in Navi Mumbai.

You will lead data warehousing, ETL/ELT, data modeling, governance, and cloud platforms (AWS/Azure/GCP), modernizing enterprise landscapes and guiding AI/ML data integrations.

Qualifications

• 12+ years of total data experience with 5+ years in data architecture (banking domain preferred).
• BE/BTech/MCA/MTech/MSc in CS/IT/EC mandatory.
• Certifications in AWS/Azure/GCP preferred.

Responsibilities

• Architect and design enterprise data warehouses, data lakes, and ETL/ELT pipelines.
• Lead data modeling, governance, and lineage tooling adoption.
• Migrate 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, LLM-based RAG, and vector databases.
• Modernize legacy data systems into cloud/hybrid architectures.
• Apply CI/CD practices for data pipelines and governance.
• Collaborate with stakeholders to align data architecture with enterprise strategy.
• Utilize EA tools (Mega Hopex, ABACUS) for architecture modeling and compliance.

Skills

Data warehousing

ETL/ELT design

Data modeling

Relational DBs

NoSQL

Big data platforms

Analytics tools

Data governance

AI/ML data systems

EA tools

Cloud data platforms

Education

BE/BTech/MCA/MTech/MSc in CS/IT/EC

Tools

Mega Hopex

ABACUS

Power BI

Tableau

Cognos

AWS

Azure

GCP

Job description

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)