Senior Data Architect

Tata Consultancy Services; Irving (TX); On-site; USD 125,000 - 140,000; Full time

Job summary

Tata Consultancy Services is seeking an senior data architect to define and implement enterprise data architecture strategy, roadmaps and standards. You will architect end-to-end data pipelines, ETL/ELT frameworks and integration patterns, leading modernization from legacy platforms to cloud-based data ecosystems.

The role requires expertise in data modeling, data engineering, and governance across AWS, Azure, and GCP, with experience in Snowflake, Redshift, BigQuery and contemporary data

Qualifications

• Extensive experience in enterprise data architecture and governance.
• Strong knowledge of data modeling and data engineering across cloud platforms.

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

Skills

Data Architecture

Data Modeling

Data Engineering

SQL

Cloud Platforms

AWS

Azure

GCP

Big Data

Spark

Hadoop

Kafka

Databricks

ETL/ELT Tools

Ab Initio

Informatica

Talend

DataStage

Airflow

Snowflake

Redshift

BigQuery

Data Vault Modeling

Dimensional Modeling

Master Data Management

Data Governance

API Integrations

Microservices

Event-driven Architecture

Generative AI / AI-ready data

Data mesh

Data fabric

Education

BACHELOR OF COMPUTER SCIENCE

Tools

TOGAF

Job description

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:
• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)
• Experience with Big Data & Data Processing:
• Spark, Hadoop, Kafka, Databricks
• Strong knowledge of ETL/ELT tools:
• Ab Initio, Informatica, Talend, DataStage, Airflow
• Experience with Cloud Data Warehouses:
• Snowflake, Redshift, BigQuery, Databricks
• Expertise in data modeling techniques:
• Conceptual, Logical, Physical Data Models
• Dimensional Modeling (Star/Snowflake Schema)
• 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

Qualifications: BACHELOR OF COMPUTER SCIENCE