What you will do: 

• Provide technical leadership to define, evolve and implement the enterprise data platform architecture leveraging Databricks and AWS-native services.

• Architect, design and lead delivery of Business Intelligence and related analytics services

• Architect, design and deliver high-quality code by promoting and defining INDG best practices. 

• Design, develop scalable, high availability, high performance products with a deep understanding of front end and back-end architectures leveraging AWS cloud infrastructure.

• Identify technology strategic growth opportunities that enable INDG to grow as a business.

• Lead cross team efforts and projects that span multiple domains and business units.

• Participate in providing technology roadmap/vision for the team.

• Collaborate with cross-functional teams and communicate technical solutions to non-technical people across the organization.

• Participate in special projects and performs other duties as assigned. 

You need to have:

• Bachelor’s degree in related field or equivalent experience.

• 7 years of software development experience and/or commensurate skills building commercial applications with modern software engineering principles and practices. 

• Knowledge across multiple technical domains and an understanding of how and why technologies are deployed and utilized at INDG.

• A track record of building stability, performance, and scalability across major business-critical systems.

• A clear understanding of the relationship between complexity and cost and a record of successfully devising and implementing long-term strategies to lower it.

• Demonstrated experience building data pipelines, data quality, data governance, and analytics / BI solutions.

• Demonstrated expertise leveraging Spark, Pyspark, Python, SQL, Databricks, Delta Lake, Unity Catalog and MLFlow.

• Demonstrated experience of cloud technologies i.e. AWS, Serverless, Event Driven Architecture, SOA, MicroServices, Microfrontend, CI/CD, Infrastructure as code, and other modern technologies.

• Demonstrated experience of professional software engineering practices and the full software development life cycle, including coding standards, architecture/design patterns, code reviews, source control management, build processes, testing, and operations.