Sunil Kumar
Australia
Summary
Accomplished Solution Architect with over 19 years of experience delivering scalable, high-performance, end-to-end data and AI solutions across BFSI, Insurance, Telecom, Energy & Utilities domains. Expert in designing and implementing modern data architectures including Data Mesh and Data Vault 2.0, enabling domain-driven, governed, and scalable data ecosystems. Proven expertise in building enterprise-grade, microservices-based architectures on AWS, Azure, and GCP, seamlessly integrating front-end, backend, and data layers into unified, cloud-native platforms.
Specialized in Agentic AI pipelines, LLM-driven solutions, and self-service analytics platforms that drive automation, explainability, and intelligent decision-making. Strong expertise in modern data engineering practices, optimized ETL/ELT frameworks, real-time and streaming integration, and enterprise data governance with metadata management, lineage, and compliance.
Proven success in RFP solutioning, presales consulting, and executive client engagement, aligning technical strategy with business outcomes to deliver innovative, cost-effective, and sustainable enterprise solutions.
Overview
20
20
years of professional experience
1
1
Certification
Work History
Lead Data Solution Architect
Genpact
04.2025 - 03.2026
- Architect and deliver end-to-end data and analytics solutions on Snowflake, Azure, GCP, AWS, and Databricks, integrating structured, semi-structured, and unstructured data at scale.
- Own and drive RFP/RFI responses, technical proposals, and solution blueprints, aligning offerings to client requirements and competitive positioning. •
- Collaborate with sales teams to shape solution strategy, deliver client presentations, lead technical workshops, and provide proof-of-concept demos that accelerate deal closure.
- Design and implement real-time and batch data pipelines using Snowflake and Databricks (PySpark, Delta Lake, MLflow), with streaming via Kafka.
- Develop enterprise-grade data models (Data Vault 2.0, Dimensional, 3NF) using Erwin, enabling semantic layers for BI/AI workloads.
- Brings industry and domain best practices and methodologies in master data management, data governance, data management, integrations, business intelligence, and analytics.
- Design and implement end-to-end full stack architectures leveraging microservices-based backend APIs, event-driven systems, and cloud-native front-end frameworks for a seamless user experience and scalability.
- Integrate front-end applications with AI-driven backend microservices, ensuring secure, high-performance, and modular design, aligned with enterprise architecture principles.
Solution Architect
Mediamonks
06.2024 - 04.2025
- Lead cross-functional teams of data architects, modelers, and engineers to deliver scalable, enterprise-grade solutions aligned with client needs and industry best practices.
- Establish and enforce data governance frameworks, policies, and standards for data quality, security, compliance, and regulatory reporting. Architect and implement end-to-end data solutions using advanced data modelling, dimensional design, and cloud architectures on AWS (Redshift, Glue, S3, RDS, and Lambda) and Snowflake.
- Design and optimise ETL/ELT pipelines and orchestration workflows for data lakes, warehouses, and governance solutions, integrating metadata management, data lineage, cataloguing, and automated quality checks using tools like Apache Atlas, Collibra, and AWS Glue Data Catalog. Provide technical leadership, solution direction, code reviews, and mentoring to ensure high-quality delivery and adherence to best practices.
- Provide technical leadership, solution direction, code reviews, and mentoring to ensure high-quality delivery and adherence to best practices
Data Solution Lead
Dish Wireless
01.2022 - 06.2024
- Lead enterprise solution architecture across pre-sales and delivery, ensuring scalable, secure, and high-performance designs aligned with client and enterprise standards.
- Conduct architecture reviews, define target-state blueprints, and guide implementation teams on design trade-offs.
- Architect and implement AI/ML, advanced analytics, and cloud-native solutions (AWS, Azure) to optimise B2C applications.
- Design end-to-end data architectures, integrating diverse data sources, automating ingestion, applying security controls, and enabling advanced visualisations.
- Implement Snowflake best practices and design Azure Databricks pipelines for structured, semi-structured, and unstructured data for real-time streaming using Kafka.
- Discuss with stakeholders in different business areas, provide solutions for business challenges, and conduct POV and related MVP in data analytics.
Technical Lead
IBM
01.2014 - 01.2022
- Architect and deliver end-to-end data and analytics solutions on Snowflake, Azure, GCP, AWS, and Databricks, integrating structured, semi-structured, and unstructured data at scale, with a strong focus on domain-oriented architecture aligned to Data Mesh principles.
- Lead the adoption and implementation of Data Mesh architecture, enabling domain-driven data ownership, data-as-a-product mindset, federated governance, and self-serve data platforms across business units such as trading, grid operations, customer analytics, and asset management.
- Design and implement scalable data product frameworks, including metadata-driven pipelines, data contracts, discoverability, lineage, and quality SLAs to support decentralized data ecosystems.
- Own and drive RFP/RFI responses, technical proposals, and solution blueprints, aligning offerings to client requirements, industry regulations, and competitive positioning within Energy & Utilities and other domains.
- Design and implement real-time and batch data pipelines using Snowflake and Databricks (PySpark, Delta Lake, MLflow), with streaming via Kafka.
- Develop enterprise-grade data models (Data Vault 2.0, Dimensional, 3NF) using Erwin, ensuring alignment with domain-specific data products and enabling semantic layers for BI, AI, and regulatory reporting.
- Build automated ingestion, transformation, and orchestration workflows using Informatica (IICS), ODI, and cloud-native services (AWS Glue, Azure Data Factory, Snowpipe), with emphasis on reusable, metadata-driven frameworks.
- Implement robust data governance frameworks including data cataloging, lineage, quality monitoring, access control, and compliance aligned with regulatory standards.
- Implement advanced analytics and AI/ML solutions using Dataiku and cloud-native ML platforms, supporting use cases such as demand forecasting, energy trading optimization, asset performance management, and anomaly detection.
Senior Data Engineer
UnitedHealth Group (Optum)
, India
02.2014 - 08.2014
- Led the modernisation of traditional BI platforms by migrating from OBIEE, Discoverer, and a scalable reporting layer.
- Designed and deployed real-time dashboards for executive analytics using OBIEE, and Elastic Stack.
- Aligned legacy data systems with emerging governance requirements, enabling audit-ready compliance with HIPAA.
- Developed and optimised ETL flows and dimensional models to improve data accuracy and reduce latency by 30%.
Senior Data Engineer
Hays Business Solutions
, India
07.2012 - 02.2014
- Spearheaded ETL modernization initiatives using Informatica and ODI, transitioning from monolithic batch jobs to modular, reusable ETL patterns.
- Facilitated workshops to gather and validate business requirements, leading to robust, scalable data pipelines.
- Initiated the adoption of data cataloging and quality workflows, improving data discoverability and integrity.
- Installation, configuration, migration, administration, tuning, diagnosis, monitoring, and upgrading of Oracle BI Apps (OBIEE, Informatica, ODI, and DAC) for the financial module.
- Implementation experience with high availability architecture for OBIEE, OBIA, and ODI.
Senior Software Engineer - DWH & Analytics
Royal Bank of Scotland (RBS / NatWest)
, India
07.2011 - 07.2012
- Led optimization and refactoring of legacy ETL jobs to support real-time reporting and regulatory compliance.
- Consolidated multiple reporting data marts and optimized data models using Erwin, preparing the platform for cloud transition.
- Standardized data integration practices to support consistency across regulatory, finance, and customer domains.
Senior Software Engineer
BirlaSoft
, India
11.2009 - 06.2011
- Directed the modernisation of enterprise BI by migrating from Discoverer to OBIEE, streamlining legacy systems, and improving analytics readiness.
- Developed scalable data marts and cubes using SSAS and SSIS, integrating on-premises and hybrid sources.
- Build and maintain meaningful Business Intelligence dashboards for executives and various departments within the organisation, and resolve administrative issues. Admin issues.
- Defines the overall MDM solution, sets delivery guidelines, prepares and reviews detailed designs for accuracy and overall compliance to defined solution.
Data Engineer
Satyam Computers (Tech Mahindra)
, India
10.2006 - 11.2009
- Delivered foundational ETL development for large-scale migration initiatives across telecom and financial clients.
- Enhanced legacy batch processes to improve performance and readiness for data warehouse modernization.
- Played a critical role in aligning technical architectures with evolving business needs during the shift from legacy platforms to modern data ecosystems.
- Create and maintain ETL packages, Stored Procedures, Functions, Cursors, Views, and tables all used to streamline reporting needs.
Education
Bachelor of Engineering (B.Tech) -
University of Rajasthan
India01.2006
Skills
- RFP and presales management
- Snowflake expertise
- Databricks proficiency
- Data modeling,Data Mesh and vault 20
- Cloud platforms: AWS, Azure, GCP
- Power BI visualization
- Tableau analytics
- Informatica (IICS) skills
- DBT development
- Elasticsearch and Kibana integration
- Agentic AI and LLM integration
- Data governance with Collibra and Atlan
Certification
- Genpact: AI Architect
- Snow pro Advanced Architect- Snowflake
- Snowpro Core-Snowflake
- AWS Certified Solutions Architect
- Microsoft Certified: Azure Fundamentals
- AWS Certified Cloud Practitioner
- IBM: Delivering Business Value through Data
Timeline
Lead Data Solution Architect
Genpact
04.2025 - 03.2026
Solution Architect
Mediamonks
06.2024 - 04.2025
Data Solution Lead
Dish Wireless
01.2022 - 06.2024
Senior Data Engineer
UnitedHealth Group (Optum)
02.2014 - 08.2014
Technical Lead
IBM
01.2014 - 01.2022
Senior Data Engineer
Hays Business Solutions
07.2012 - 02.2014
Senior Software Engineer - DWH & Analytics
Royal Bank of Scotland (RBS / NatWest)
07.2011 - 07.2012
Senior Software Engineer
BirlaSoft
11.2009 - 06.2011
Data Engineer
Satyam Computers (Tech Mahindra)
10.2006 - 11.2009
Bachelor of Engineering (B.Tech) -
University of Rajasthan