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 up-to-date 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.

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru