Tech Lead Azure Application Services and Databricks

Title: Tech Lead Azure Application Services and Databricks

Duration: 10 months (with possible extension)

Location: Toronto, ON- hybrid- 5 times /month onsite

Compensation: $65-$83/hour

Interview Process: 2 rounds- Virtual and Inperson for the final round

Day-to-Day:

• Lead Azure AD/EntraID integration with Protegrity ESA to enable Managed Service Identities (MSI) and eliminate hardcoded credentials/SPNs.


• Work with Protegrity vendor to design, build, configure and deploy Protegrity Cloud Protect API product using several Azure services: App Service Environment V3, Event Hub, Log Analytics.


• Work with Protegrity vendor to design, build, configure and certify Protegrity JDBC Protector product using Azure SQL, MS SQL Server and Oracle.


• Work with Protegrity vendor to design, build, configure and certify Protegrity Databricks Protector using Azure Databricks, ADLS, Unity Catalog.


• Follow Agile methodology to setup environment, configure, test, debug, and document to ensure successful implementation and maintenance of the service during/post project.


• Develop automation scripts and integrations using Python and Bash.


• Provide production support for deployed solutions and troubleshoot issues effectively.


• Tech Lead will need to give guidance and direction to existing team.


• It will more or less be a 50/50 split of hands-on and governance work.

Must-Haves:

• 3+ years hands-on Azure infrastructure experience (App Service, REST API, ASE v3, VNet, Event Hub)


• Network fundamentals (F5 load balancer, firewall rules, DNS, certificates, NSG configuration).


• Azure Databricks experience (Unity Catalog, UDF, cluster automation, Delta Lake)


• Identity & Access Management knowledge (Azure AD/EntraID, Managed Identities, Key Vault, RBAC).


• Python and Bash scripting should have hands-on experience if coming from a developer to lead role.


• Come from financial industry bank, insurance, etc

Nice-to-Haves:

• Protegrity ESA administration or policy authoring.


• Protegrity Protector experience (JDBC, Oracle, AP) or willingness to learn within 30 days.


• Data protection domain knowledge (tokenization, masking, anonymization).


• Experience with compliance frameworks (SC-181, PCI DSS, GDPR).


• SQL/database administration (SQL PaaS, Oracle, MS SQL).


• Experience with JIRA/Confluence.

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.