Senior Data Architect

• 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

• Strong experience in Data Architecture, Data Modeling, and Data Engineering.
• Expertise in SQL and database technologies
• Hands-on experience with Cloud Platforms:

o Microsoft Azure

• Experience with Big Data & Data Processing:

• Strong knowledge of ETL/ELT tools:

• Experience with Cloud Data Warehouses:

• Expertise in data modeling techniques:

• 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

• 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.

• AWS Certified Data Analytics / Solutions Architect
• Snowflake Certification
• Databricks Certification
• TOGAF (mandatory)

• 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