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Senior Data DevOps
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingImplement and support infrastructure changes across the data platform
Establish monitoring and end-to-end tracking mechanisms
Develop automation and self-healing solutions for platform operations
Perform anomaly detection, event correlation, and performance analysis on data workloads
Manage access permissions across environments
From the employer’s posting
Implement and support infrastructure changes across the data platform
Establish monitoring and end-to-end tracking mechanisms
Develop automation and self-healing solutions to streamline platform operations
Perform anomaly detection, event correlation, and analysis
Manage access permissions across environments
What you’ll bring
All qualificationsCore experience
- 3+ years of hands-on work with advanced Terraform and Azure DevOps pipelines
- Knowledge of Azure data solutions: Data Lake Storage, Databricks, and ADF
- Familiarity with Synapse Analytics for performance and troubleshooting
- Effective communication with multiple stakeholders
- English proficiency at B2 level or higher
Qualification wording
3+ years of experience with hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environments
Knowledge of Azure data solutions such as Data Lake Storage, Databricks, and ADF
Familiarity with Synapse Analytics for data workloads performance improvements, monitoring, and issues troubleshooting
Skills in communicating effectively with multiple stakeholders
English proficiency at B2 level or higher
Tools in this posting
- Azure
- Databricks
- Terraform
Source — Tool mentions in context
We are seeking a Senior Data DevOps professional to implement and support key aspects of our data platform, including infrastructure changes, monitoring, end-to-end tracking, automation and self-healing, anomaly detection, event correlation and analysis, performance analysis, and access permissions management. Responsibilities Implement and support infrastructure changes across the data platform Establish monitoring and end-to-end tracking mechanisms Develop automation and self-healing solutions to streamline platform operations Perform anomaly detection, event correlation, and analysis Conduct performance analysis on data workloads Manage access permissions across environments Collaborate with Architecture teams to ensure platform design aligns with support model standards Work with the SRE team to support the platform Optimize data platform activities, support processes, and automate administrative activities, infrastructure, and application deployments Communicate with multiple stakeholders to align on platform requirements and priorities Troubleshoot and prevent issues related to data workloads performance Requirements 3+ years of experience with hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environments Knowledge of Azure data solutions such as Data Lake Storage, Databricks, and ADF Familiarity with Synapse Analytics for data workloads performance improvements, monitoring, and issues troubleshooting Skills in communicating effectively with multiple stakeholders Expertise in solutioning and collaborating with Architecture teams on platform design standards English proficiency at B2 level or higher
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
Check the employer’s posting for the current role and application details.
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Has EPAM Systems posted this job before?
Yes. We’ve followed one other Senior Data DevOps job there since November 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We are seeking a Senior Data DevOps professional to implement and support key aspects of our data platform, including infrastructure changes, monitoring, end-to-end tracking, automation and self-healing, anomaly detection, event correlation and analysis, performance analysis, and access permissions management. Responsibilities Implement and support infrastructure changes across the data platform Establish monitoring and end-to-end tracking mechanisms Develop automation and self-healing solutions to streamline platform operations Perform anomaly detection, event correlation, and analysis Conduct performance analysis on data workloads Manage access permissions across environments Collaborate with Architecture teams to ensure platform design aligns with support model standards Work with the SRE team to support the platform Optimize data platform activities, support processes, and automate administrative activities, infrastructure, and application deployments Communicate with multiple stakeholders to align on platform requirements and priorities Troubleshoot and prevent issues related to data workloads performance Requirements 3+ years of experience with hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environments Knowledge of Azure data solutions such as Data Lake Storage, Databricks, and ADF Familiarity with Synapse Analytics for data workloads performance improvements, monitoring, and issues troubleshooting Skills in communicating effectively with multiple stakeholders Expertise in solutioning and collaborating with Architecture teams on platform design standards English proficiency at B2 level or higher
Source details
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