Data Platform Support Engineer (DATABRICKS) - Contract to Hire

Job Description:

To provide for the deployment, maintenance, and support of bank data platforms and supporting applications.

Installation, maintenance and troubleshooting of applications per user specifications.

Interface with non-technical personnel in order to gather user requirements from business units.

Responsible for collaborating with different areas of IT and handling escalated application support issues.

Key Responsibilities

Provide Tier II and Tier III production support for enterprise data platforms, including SQL Server based EDW, Databricks, Fivetran, Tableau, and Alteryx.

Monitor data production environments and triage, troubleshoot, and resolve incidents to meet SLAs and minimize business impact.

Execute and coordinate production deployments for Data and AI Engineering, including code and configuration promotions, following established change management and CAB processes.

Perform root cause analysis (RCA) for incidents and partner with data engineers to drive permanent remediation.

Support and repair data ingestion and processing pipelines, including job restarts, re-runs, and connector remediation.

Troubleshoot data availability, data quality, and performance issues impacting reporting and analytics.

Own incident communications, including stakeholder updates, outage notifications, and post incident summaries.

Maintain and improve runbooks, SOPs, and operational documentation for common production scenarios.

Identify incident trends and recommend monitoring, alerting, and operational improvements.

Collaborate with data engineers, BI teams, DBAs, and business partners to ensure platform stability and reliability.

Additional Notes:

Supporting data platforms, data bricks, injections tools into DATABRICKS.

Help with deployments, existing support team will be there.

Know how to know troubleshooting and data platforms.

Tier 1 support required when needed.

This person will help in knowledge transfer to tier 1.

Knowledge on other injections tools other than DATABRICKS would be plus.

DATABRICKS or Fivetran, Altrex or Tableau, switching to Databricks, preference will be given to Databricks.

They have lot of pipeline related issues, S3 troubleshooting issues, this is production related.

ServiceNow is main incident platform.

Not much stakeholder s management, not interacting much, this will be more internally with Data engineers etc.

AzureDevops for documentation.

This is more on troubleshooting, not creating pipelines.

Person must come office couple of days in office, not looking for fully remote.

Fully remote is also fine but lean more on candidates or preference will be given to locals or who can come onsite.

Strong preference will be given to Databricks

Initial screening with Colton and 2nd round with another team member.

Top skills: Technical troubleshooting (Top priority), Ability to think bigger picture for longer solutions, Communication collaboration.

40 hours per week, this was initially contract, this is a long-term need with high likelihood of getting converted to FTE.

Final round would be in-person interview.

Some weekend support for deployments will be required, not often.

Involves overnight work not often but sometimes, potentially will be called.

Looking to start ASAP.