Senior Azure Data Platform Engineer

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At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.
If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you.

We are seeking a senior-level Azure Data Platform Engineer with deep expertise in Azure SQL Managed Instance, Azure Data Factory (ADF), and enterprise database administration. This individual will play a hands-on leadership role in managing, troubleshooting, and driving data platform reliability and performance across a complex client environment.
This is not a passive support role. The ideal candidate is someone who will step in, take ownership of data pipelines and database operations, and proactively identify and resolve issues—often in high-pressure or ambiguous situations with demanding stakeholders.
This role is best suited for a practitioner who can balance deep technical execution with client engagement, operate across vendor ecosystems, and lead critical data loading and platform operations end-to-end.

• Long-term contract supporting a mission-critical data platform
• Emphasis on stability, performance improvement, and operational ownership
• Requires a resource who can operate independently and lead through ambiguity
• Not advisory—this is a hands-on execution and delivery role

• Administer and manage Azure SQL Managed Instance and Azure SQL databases in production environments
• Perform database performance tuning, including indexing strategies, query plan analysis, and workload optimization
• Diagnose and resolve locking, blocking, and concurrency issues
• Implement and manage database security, user access, and role-based permissions
• Ensure robust backup, recovery, and high availability practices

• Design, build, and maintain ADF pipelines for batch and incremental data loading
• Administer ADF environments, including monitoring, scheduling, and failure handling
• Troubleshoot pipeline failures, integration issues, and performance bottlenecks
• Analyze execution logs and metrics to identify systemic issues in data processing workflows
• Ensure pipelines are resilient, scalable, and operationally supportable

• Take end-to-end ownership of data loading processes, from ingestion through validation
• Lead efforts to stabilize, standardize, and improve existing pipelines
• Identify root causes of failures and implement durable, repeatable fixes
• Coordinate across teams to ensure data availability and integrity
• Establish and enforce monitoring, alerting, and operational discipline

• Develop and maintain automation using Python and/or Power Shell
• Automate operational workflows such as environment validation, monitoring, and remediation
• Reduce manual intervention through repeatable scripting solutions

• Work within Azure environments to support infrastructure dependencies impacting data workloads
• Utilize Azure Dev Ops (ADO) for:
• Managing database schema changes
• Versioning and promoting ADF pipelines
• Contribute to CI/CD practices for data platform deployments

• Work directly with client stakeholders, internal teams, and third-party vendors
• Operate effectively in environments with unclear ownership, legacy systems, or process gaps
• Communicate clearly around issues, risks, and remediation strategies
• Demonstrate a willingness to take initiative, assume…