Data Architect-Banking

Tata Consultancy

Hyderabad

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Tata Consultancy is seeking a Data Architect in Hyderabad responsible for designing and governing the organization's data architecture. You will develop enterprise data models and ensure secure, scalable data solutions.

With a focus on cloud technologies and data governance, the ideal candidate will have 10-15+ years of relevant experience. This full-time position is within the IT Services and Consulting industry.

Qualifications

10 - 15+ years in data engineering, database design, or architecture roles.
Proven experience as a Data Architect in enterprise environments.
BFSI domain experience is an added advantage.

Responsibilities

Develop and maintain enterprise data architecture.
Design data pipelines, lakes, and integration platforms.
Ensure data security, compliance, and privacy standards.
Partner with teams to define data requirements.
Optimize database performance and ETL processes.

Skills

Data modeling (OLTP, OLAP, Dimensional, Data Vault)

ETL/ELT tools (ADF, Informatica, Talend, Databricks, DBT)

SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra)

Data streaming platforms (Kafka, EventHub, Kinesis)

API-based data integration, microservices

AI/ML data preparation and MLOps

Job description

Job Description

Role Overview

The Data Architect is responsible for designing, implementing, and governing the organization's data architecture. This includes creating enterprise data models, defining data standards, enabling data integration, and ensuring secure, scalable, and highquality data solutions across the organization. The role requires strong expertise in modern data platforms, cloud technologies, data governance, and endtoend architecture design.

Key Responsibilities

1. Data Architecture & Design

Develop and maintain enterprise data architecture, including conceptual, logical, and physical data models.
Design data pipelines, data lakes, data warehouses, and integration platforms.
Define standards for master data management (MDM), metadata management, and data quality.
Architect solutions for real-time, batch, and streaming data processing.

2. Cloud & Platform Expertise

Design scalable data solutions on Azure / AWS / GCP.
Build and optimize Data Lakehouse architectures (Databricks, Snowflake, Synapse, BigQuery, Redshift).
Recommend appropriate data storage formats (Parquet, Delta Lake, ORC, etc.).

3. Data Governance & Security

Ensure data security, compliance, and privacy aligned with enterprise and regulatory standards.
Implement RBAC, data lineage, auditability, cataloging, and governance frameworks.
Work with InfoSec to enforce best practices for secure data access and retention.

4. Collaboration & Solution Delivery

Partner with Business, Data Engineers, BI teams, and Application Architects to define data requirements.
Provide architecture reviews, design documents, and implementation guidance.
Support decision-making with data modeling best practices and architecture recommendations.

5. Performance Optimization & Best Practices

Optimize database performance, indexing, query tuning, and ETL processes.
Assess and recommend new tools, frameworks, and technologies.
Ensure high data availability, disaster recovery, and scalability.

Required Skills & Experience

Technical Skills

Strong expertise in data modeling (OLTP, OLAP, Dimensional, Data Vault).
Experience with ETL/ELT tools: ADF, Informatica, Talend, Databricks, DBT.
Knowledge of SQL/NoSQL databases: PostgreSQL, MySQL, MongoDB, Cassandra.
Hands-on with data streaming platforms: Kafka, EventHub, Kinesis.
Experience with API-based data integration, microservices, and event-driven architecture.
Familiarity with AI/ML data preparation, feature stores, and MLOps is a plus.