Senior Data Architect

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 (GCP)

• 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)

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