Senior Azure Data Engineer

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale. 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. Role Overview 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 Key Responsibilities 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 Required Qualifications 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 What Success Looks Like Data pipelines run reliably with minimal disruption 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 New Era Technology, LLC., and its subsidiaries ("New Era" "we", "us", or "our") in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. 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