Job Description

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: o Lead end-to-end data architecture for large-scale modernization and digital transformation programs. o Design and implement modern data platforms using cloud-native services (Azure, AWS, GCP) including lakehouses, streaming pipelines, and orchestration frameworks. o Define and drive adoption of modern architecture patterns such as data mesh, data fabric, data virtualization, and knowledge graphs. o Drive the adoption of modern data stacks: Spark, Databricks, Snowflake, Synapse, BigQuery, Kafka, dbt, Delta Lake, etc. o Develop logical and physical data models to support structured, semi-structured, and unstructured data. o Collaborate with data engineers, product owners, and business stakeholders to translate requirements into scalable data solutions. o Define and implement strategies for data governance, metadata management, master data management, Data security and access controls. o Evaluate and recommend tools, platforms, and frameworks aligned with enterprise data strategy. Required Skills and Experience: o Hands-on experience with at least one major cloud platform (Azure, AWS, GCP) or emerging platforms like IOMETE. o Expertise in modern data warehousing and lakehouse platforms: Snowflake, Databricks, Synapse, Redshift, BigQuery. o Deep knowledge of data integration, ETL/ELT tools (e.g., dbt, Azure Data Factory, Glue, Airflow). o Experience with streaming and real-time data platforms like Kafka, Spark Structured Streaming o Strong understanding of data modeling, data quality frameworks, and metadata management. o Familiarity with data mesh, data fabric, and data product concepts. o Experience with data cataloging and discovery tools: Collibra, Alation, Purview, etc. o Knowledge of DevOps, DataOps, and CI/CD for data pipelines. o Experience with AI/ML platform integration. o Excellent communication skills and ability to engage with technical and business stakeholders effectively. o Proven experience leading cloud, DevOps, or AI modernization initiatives. o Strong understanding of LLMs, automation, and engineering toolchains. o 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