Data architect

Prodapt Solutions Private Limited; Chennai District; On-site; INR 450,000 - 900,000; Full time

Job summary

Prodapt Solutions Private Limited seeks an experienced Data Architect to design, govern, and evolve enterprise data architecture for large-scale telecom programs. You will define data strategy, standards, and blueprints enabling scalable, secure data platforms across on-prem and cloud environments.

The role requires deep expertise in data modeling, governance, ETL/ELT, and cloud data ecosystems, with a track record of delivering enterprise data platforms and strong stakeholder communication

Qualifications

• ,
• 10+ years in data architecture with enterprise-scale platforms
• Cloud data ecosystems (AWS/Azure/GCP)
• Data modeling techniques (dimensional/normalized/data vault)
• ETL/ELT tools (Informatica/Talend/dbt/Databricks/Spark)
• Data governance, quality, and MDM familiarity
• Streaming/real-time data architectures (Kafka/Kinesis)
• Telecom domain data familiarity preferred
• Certs in data architecture (AWS/Azure/GCP, TOGAF) a plus
• Bachelor's/Master's in CS/IT

Responsibilities

• Design end-to-end data architecture (data lake, data warehouse, data mesh) aligned with business and technical requirements
• Define data models and enforce governance, quality, and security standards
• Architect solutions for ingestion, transformation, storage, and consumption
• Evaluate technologies for scalability and cost efficiency
• Collaborate with stakeholders and engineering to translate requirements into blueprints
• Establish data integration across legacy and modern systems (APIs, streaming)
• Define metadata management, data lineage, and MDM practices
• Provide architectural oversight during implementation for quality and compliance
• Mentor data engineering teams and review designs for scalability
• Support presales with architecture diagrams and proposals

Skills

Data architecture

Cloud data ecosystems

Data modeling

Data governance

ETL/ELT tools

Streaming data

Stakeholder management

TOGAF certification

Education

Bachelor's/Master's in CS/IT

Tools

Informatica

Talend

dbt

Databricks

Spark

Job description

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)
  • Strong understanding of data governance frameworks, data quality, and MDM tools
  • Experience with streaming/real-time data architectures (Kafka, Kinesis, Event Hubs)
  • Familiarity with telecom domain data (network, billing, customer, OSS/BSS) preferred
  • Excellent stakeholder management and ability to present architecture to technical and business audiences
  • Relevant certifications (AWS/Azure/GCP data architecture, TOGAF) are a plus

• Educational Qualification:
  Bachelor's/Master's degree in Computer Science, Information Technology, or related field