Azure Data Platform Engineer - W2 Position

Philadelphia, PA, US • Posted 4 days ago • Updated 4 days ago
Full Time
No Travel Required
On-site
$55 - $56/hr
Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Job Details

Skills

  • ADF
  • DevOps
  • RFC
  • Auditing
  • Database
  • Databricks

Summary

Hi,

The following requirement is open with our client.

Title                                       : Azure Data Platform Engineer

Location                               : Philadelphia, PA - Onsite

Duration                              : 12+ Months  

Rate                                        :$56/hr on W2 

Position                                 : W2 Position

Relevant Experience (in Yrs.):

 

Job Description:

Experience in data platform or cloud administration, with strong focus on Azure Databricks.

Hands‐on experience with Azure services including ADLS Gen2, Azure Networking, Azure Monitor, and ADF.

 

Detailed Job Description

Lead onshore platform operations and administration for the Azure data platform, accountable for platform stability, security, and compliance, and serving as the escalation owner for P1/P2 platform incidents and change coordination

Manage access and governance controls across Azure Portal, Entra ID/AD groups, RBAC, Key Vault/secret scopes, and platform components including Databricks workspaces/cluster policies, ADF/SHIR, ADLS ACLs/zones, and integration touchpoints such as Power BI gateway topology

Establish and run platform observability and alert hygiene using Azure Monitor/Log Analytics/App Insights, Splunk, and operational scheduling visibility from Tidal, ensuring thresholds, alert taxonomy, and response playbooks are standardized and continuously improved

Own CI/CD operational readiness and release governance through Azure DevOps (pipelines/repos/boards), support CAB/RFC execution in Ivanti, and drive secure, repeatable platform changes (patching, certificate/secret rotation, rollback plans, audit evidence)

Collaborate with Data Ops and FinOps to implement cost/stability guardrails (tagging/limits, capacity controls, policy-as-code) and to reduce operational toil through automation and self-service patterns.

Monitor Azure Databricks usage and implement cost‐optimization strategies, including:

o Cluster right‐sizing

o Autoscaling and auto‐termination

o Instance pool configuration

Install, configure, and administer HVR Hub and agents in Azure and on‐prem environments. Configure and manage Fivetran connectors for SaaS, databases, and event sources

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 8959167
  • Posted 4 days ago
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