Custom Software Engineer

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 : Microsoft Azure Databricks

Good to have skills : NA

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

Administer Azure Data Lake Storage Gen2: containers, directory/folder structure, lifecycle, access RBAC / POSIX ACLs, storage configuration, and blob inventory report configuration and management the basis for the ADL inventory dataset for the data hub.

Implement and maintain the ADLS security model — directory/container ACLs and the security-group model behind them. Where Entra ID access and security-group management are required, this is done in partnership with an ED&A resource to ensure the security model is implemented accurately and completely. See scope note below on tenant-level access.

Administer Azure Data Factory ADF: integration runtimes IR / Self-Hosted IR, linked services, datasets, managed identities, pipeline environment configuration, connectivity to sources/sinks, and maintaining the pipeline folder organization / governance standard.

Support Azure Databricks platform administration: workspace configuration, cluster/SQL warehouse policies, and Unity Catalog administration catalogs/schemas, grants, external locations, credentials in partnership with the Databricks lead.

Manage secrets and access: Azure Key Vault, service principals / managed identities, and RBAC/ACL provisioning for ED&A resources.

Stand up and configure data-platform resources for the Commercial environment during the foundation phase, and prepare the repeatable pattern used for Phase 2 workload migration.

Be the ED&A interface to Cloud Services / Infrastructure for provisioning, networking, and governance dependencies — translating data-team needs into clean requests and unblocking them quickly.

Implement and document platform standards, naming conventions, and operational runbooks ensure those standards are observed and followed within each owned/managed application and support cost monitoring of data-platform resources 10K/mo run-rate assumption.

Scope boundaries what this role is NOT

It is not a blanket Azure / Entra ID / tenant administrator and does not own network architecture, firewall, or cross-tenant identity/federation — those remain with the central Cloud Services and Infrastructure teams.

Entra ID / security-group access is scoped and conditional: the role needs enough access to implement and validate the data-hub security model, but tenant-wide identity administration is out of scope. Where group management cannot be granted directly, it is executed as a partnership with the responsible ED&A resource. Level of tenant access to be confirmed.

It augments ED&A it does not replace the cloud team's platform-engineering or security responsibilities.

Required Skills & Experience

Hands-on administration of Azure Data Lake Storage Gen2 including ACL-based security models and blob inventory and Azure Data Factory in a production environment.

Working knowledge of Azure Databricks administration and Unity Catalog governance grants, external locations, ABAC/row-column controls a plus.

Solid grasp of Azure RBAC, ACLs, managed identities/service principals, Key Vault, and Entra ID security groups.

Comfort operating within an enterprise cloud where the tenant/network is centrally managed — i.e., getting things done through, and alongside, a central cloud team.

Strong documentation and stakeholder-coordination skills able to turn ambiguous needs into clear, prioritized requests.

Good to have

Experience With Gov Commercial Or Other Regulated/segmented Azure Migrations.

Familiarity with data classification / export-control patterns CUI / ITAR vs. commercial and how they map to Unity Catalog controls.

Power BI gateway / downstream connectivity setup.

IaC exposure Bicep / Terraform / ARM for repeatable resource deployment.

Relevant certs: Azure Administrator Associate AZ-104, Azure Data Engineer Associate DP-203, or Databricks platform-admin credentials.

Additional Information:

• The candidate should have minimum 12 years of experience in Microsoft Azure Databricks.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.