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:
oAmazon Web Services (AWS)
oMicrosoft Azure
oGoogle Cloud Platform (GCP)
•Experience with Big Data & Data Processing:
oSpark, Hadoop, Kafka, Databricks
•Strong knowledge of ETL/ELT tools:
oAb Initio, Informatica, Talend, DataStage, Airflow
•Experience with Cloud Data Warehouses:
oSnowflake, Redshift, BigQuery, Databricks
•Expertise in data modeling techniques:
oConceptual, Logical, Physical Data Models
oDimensional Modeling (Star/Snowflake Schema)
oData 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.
•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)
Roles & Responsibilities
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
Salary Range: $125,000 to $140,000 per year
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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