Overview:
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified” company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
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