Overview

We are seeking an experienced Data Architect to design, govern, and evolve enterprise data architecture supporting large-scale telecom/technology programs. The role involves defining data strategy, standards, and blueprints that enable scalable, secure, and high-performing data platforms across on-prem and cloud environments.

Responsibilities

Key Responsibilities:
Design end-to-end data architecture (data lake, data warehouse, data mesh) aligned with business and technical requirements
Define data models (conceptual, logical, physical) and enforce data governance, quality, and security standards
Architect solutions for data ingestion, transformation, storage, and consumption across structured/unstructured sources
Evaluate and select appropriate technologies (cloud data platforms, ETL/ELT tools, databases) for scalability and cost efficiency
Collaborate with business stakeholders, engineering teams, and presales to translate requirements into architecture blueprints
Establish data integration strategies across legacy and modern systems,



including APIs and streaming pipelines
Define and enforce metadata management, data lineage, and master data management (MDM) practices
Provide architectural oversight during implementation, ensuring adherence to design principles and best practices
Mentor data engineering teams and review technical designs for scalability, performance, and compliance
Support presales/solutioning efforts with architecture diagrams, technical proposals, and effort estimation
Requirements

Required Skills & Experience:
10+ years in data architecture, with proven experience designing enterprise-scale data platforms
Strong expertise in cloud data ecosystems (AWS/Azure/GCP) — data lakes, warehouses (Snowflake, Redshift, BigQuery, Synapse)
Deep knowledge of data modeling techniques (dimensional, normalized, data vault)
Hands-on experience with ETL/ELT tools (Informatica, Talend, dbt, Databricks, Spark)
Robust understanding of data governance fra

📌 Data architect (Chennai)
🏢 Prodapt
📍 Chennai