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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Azure Data Platform Engineer - **Company:** New Era Technology - **Location:** Jersey City, NJ, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Database Schema, Database Security, Software Debugging, DevOps, Python (Programming Language), SQL Azure, Performance Tuning, Windows PowerShell, SQL Databases, Management of Software Versions, Enterprise Data Management, Azure Data Factory, System Availability, Database Optimization, Database Performance, Information Technology, Data Pipelines, Legacy Systems - **Published:** May 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d46ce43aaca60ad9 ## About the Role Do you have experience in Technical troubleshooting support?, * 7+ years of experience in database administration, data engineering, or data platform operations * Deep hands-on expertise with: * + Azure SQL Managed Instance / Azure SQL Database + Azure Data Factory (pipeline development and administration) * Strong experience in SQL query optimization and performance tuning * Proven ability to diagnose and resolve: * + Locking/blocking issues + Data pipeline failures + Performance bottlenecks * Experience managing database user access and security administration * Hands-on experience with Python and/or PowerShell scripting * Experience with Azure DevOps (ADO) for managing code and deployments * Strong analytical skills with the ability to interpret logs and debug data processes * Ability to work independently in complex, high-pressure environments Preferred Qualifications * Experience supporting large-scale or high-volume data environments * Exposure to multi-vendor or hybrid data ecosystems * Familiarity with broader Azure services supporting enterprise data platforms * Prior experience in client-facing or consulting roles * Experience stabilizing or inheriting underperforming data environments ## Description 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. Engagement Focus * 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, Azure SQL Platform Administration & Optimization * 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 Data Factory (ADF) Engineering & Operations * 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 Data Load Process Ownership * 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 Automation & Scripting * Develop and maintain automation using Python and/or PowerShell * Automate operational workflows such as environment validation, monitoring, and remediation * Reduce manual intervention through repeatable scripting solutions Azure Infrastructure & DevOps Integration * Work within Azure environments to support infrastructure dependencies impacting data workloads * Utilize Azure DevOps (ADO) for: * + Managing database schema changes + Versioning and promoting ADF pipelines * Contribute to CI/CD practices for data platform deployments Delivery & Stakeholder Engagement * 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 ownership, and drive outcomes, * Database performance issues are identified early and resolved quickly * Data load processes are owned, documented, and continuously improving * Stakeholders gain confidence in the platform and its stability * The environment shifts from reactive issue management to proactive control * The individual becomes the go-to resource for platform reliability and execution ## Related Videos - [Hacking MSSQL on Cloud. All of them. 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