Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Architecture Principles
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Job Summary: Modern Data Architect to lead the design and implementation of next-generation data platforms. Responsible for architecting scalable, cloud-native, and real-time data ecosystems to support advanced analytics, AI/ML, and digital transformation initiatives. This role requires strong leadership, deep technical expertise, and experience across modern data architectures and platforms. Key Responsibilities: • Lead end-to-end data architecture for large-scale modernization and digital transformation programs. • Design and implement modern data platforms using cloud-native services (Azure, AWS, GCP) including lakehouses, streaming pipelines, and orchestration frameworks. • Define and drive adoption of modern architecture patterns such as data mesh, data fabric, data virtualization, and knowledge graphs. • Drive the adoption of modern data stacks: Spark, Databricks, Snowflake, Synapse, BigQuery, Kafka, dbt, Delta Lake, etc. • Develop logical and physical data models to support structured, semi-structured, and unstructured data. • Collaborate with data engineers, product owners, and business stakeholders to translate requirements into scalable data solutions. • Define and implement strategies for data governance, metadata management, master data management, Data security and access controls. • Evaluate and recommend tools, platforms, and frameworks aligned with enterprise data strategy. Required Skills and Experience: • Hands-on experience with at least one major cloud platform (Azure, AWS, GCP) or emerging platforms like IOMETE. • Expertise in modern data warehousing and lakehouse platforms: Snowflake, Databricks, Synapse, Redshift, BigQuery. • Deep knowledge of data integration, ETL/ELT tools (e.g., dbt, Azure Data Factory, Glue, Airflow). • Experience with streaming and real-time data platforms like Kafka, Spark Structured Streaming • Strong understanding of data modeling, data quality frameworks, and metadata management. • Familiarity with data mesh, data fabric, and data product concepts. • Experience with data cataloging and discovery tools: Collibra, Alation, Purview, etc. • Knowledge of DevOps, DataOps, and CI/CD for data pipelines. • Experience with AI/ML platform integration. • Excellent communication skills and ability to engage with technical and business stakeholders effectively. • Proven experience leading cloud, DevOps, or AI modernization initiatives. • Strong understanding of LLMs, automation, and engineering toolchains. • Ability to translate AI innovation into business and productivity impact. Additional Information: - The candidate should have minimum 12 years of experience in Data Architecture Principles. - This position is based at our Bengaluru office. - A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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