Job Description
Must Have Technical/Functional Skills
10+ years of overall IT experience with 5+ years in Data Architecture, Data Engineering, and Enterprise Data Management
Key Responsibilities
Define and implement enterprise data architecture strategy, roadmap, and standards.
Architect end-to-end data pipelines, ETL/ELT frameworks, and integration patterns.
Lead modernization initiatives from legacy platforms to cloud-based data ecosystems.
Define data governance, metadata management, lineage, and data quality frameworks.
Collaborate with business and technology teams to translate requirements into scalable data solutions.
Design real-time and batch data processing architectures.
Provide architecture guidance to development teams
Establish enterprise standards for master data management (MDM), reference data, and analytics enablement.
Support AI/ML, reporting, BI, and advanced analytics initiatives
Required Skills & Qualifications
Technical Skills
Strong experience in Data Architecture, Data Modeling, and Data Engineering.
Expertise in SQL and database technologies
Hands-on experience with Cloud Platforms:
o Amazon Web Services (AWS)
o Microsoft Azure
o Google Cloud Platform (Google Cloud Platform)
Experience with Big Data & Data Processing:
o Spark, Hadoop, Kafka, Databricks
Strong knowledge of ETL/ELT tools:
o Ab Initio, Informatica, Talend, DataStage, Airflow
Experience with Cloud Data Warehouses:
o Snowflake, Redshift, BigQuery, Databricks
Expertise in data modeling techniques:
o Conceptual, Logical, Physical Data Models
o Dimensional Modeling (Star/Snowflake Schema)
o Data Vault Modeling
Familiarity with data governance tools and frameworks.
Experience in API integrations, microservices, and event-driven architecture.
Knowledge of Generative AI / AI-ready data architecture
Knowledge of data mesh, data fabric, and modern data platforms
Architecture & Leadership
Domain expertise in Banking and Financial sector
Strong understanding of enterprise architecture frameworks and best practices.
Experience defining data standards, reusable frameworks, and architecture governance.
Ability to lead architecture discussions with CXOs, business stakeholders, and engineering teams.
Experience with Agile/Scrum delivery models.
Preferred Certifications
AWS Certified Data Analytics / Solutions Architect
Snowflake Certification
Databricks Certification
TOGAF (mandatory)
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