New Era Technology - Senior Azure Data Platform Engineer
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Requirements
• 7+ years of experience in database administration, data engineering, or data platform operations • 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 • 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 • database user access and security administration • Hands-on experience with Python and/or PowerShell scripting • Python and/or PowerShell scripting • Experience with Azure DevOps (ADO) for managing code and deployments • Azure DevOps (ADO) • Strong analytical skills with the ability to interpret logs and debug data processes • interpret logs and debug data processes • Ability to work independently in complex, high-pressure environments • independently in complex, high-pressure environments • Experience supporting large-scale or high-volume data environments • large-scale or high-volume data environments • Exposure to multi-vendor or hybrid data ecosystems • multi-vendor or hybrid data ecosystems • Familiarity with broader Azure services supporting enterprise data platforms • Prior experience in client-facing or consulting roles • client-facing or consulting roles • Experience stabilizing or inheriting underperforming data environments • underperforming data environments • What Success Looks Like • Data pipelines run reliably with minimal disruption • reliably with minimal disruption • Database performance issues are identified early and resolved quickly • identified early and resolved quickly • Data load processes are owned, documented, and continuously improving • owned, documented, and continuously improving • Stakeholders gain confidence in the platform and its stability • confidence in the platform and its stability • The environment shifts from reactive issue management to proactive control • reactive issue management to proactive control • The individual becomes the go-to resource for platform reliability and execution • 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. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”). • View our Privacy Policy here https://www.neweratech.com/us/privacy-policy/ • We never ask candidates to pay any fees at any point in our hiring process. If you are ever asked to provide payment for training, certification, equipment, or any other purpose, it is not from our company. Only communications from our official company channels should be trusted. Please note our official email domain is @neweratech.com. If you suspect fraudulent activity, please contact us immediately at [email protected] . • @neweratech.com
Responsibilities
• Azure SQL Platform Administration & Optimization • Administer and manage Azure SQL Managed Instance and Azure SQL databases in production environments • Azure SQL Managed Instance and Azure SQL databases • Perform database performance tuning, including indexing strategies, query plan analysis, and workload optimization • database performance tuning • Diagnose and resolve locking, blocking, and concurrency issues • locking, blocking, and concurrency issues • Implement and manage database security, user access, and role-based permissions • database security, user access, and role-based permissions • Ensure robust backup, recovery, and high availability practices • backup, recovery, and high availability practices • Data Factory (ADF) Engineering & Operations • Design, build, and maintain ADF pipelines for batch and incremental data loading • ADF pipelines for batch and incremental data loading • Administer ADF environments, including monitoring, scheduling, and failure handling • monitoring, scheduling, and failure handling • Troubleshoot pipeline failures, integration issues, and performance bottlenecks • pipeline failures, integration issues, and performance bottlenecks • Analyze execution logs and metrics to identify systemic issues in data processing workflows • systemic issues in data processing workflows • Ensure pipelines are resilient, scalable, and operationally supportable • resilient, scalable, and operationally supportable • Data Load Process Ownership • Take end-to-end ownership of data loading processes, from ingestion through validation • end-to-end ownership of data loading processes • Lead efforts to stabilize, standardize, and improve existing pipelines • stabilize, standardize, and improve existing pipelines • Identify root causes of failures and implement durable, repeatable fixes • durable, repeatable fixes • Coordinate across teams to ensure data availability and integrity • data availability and integrity • Establish and enforce monitoring, alerting, and operational discipline • monitoring, alerting, and operational discipline • Automation & Scripting • Develop and maintain automation using Python and/or PowerShell • automation using Python and/or PowerShell • Automate operational workflows such as environment validation, monitoring, and remediation • environment validation, monitoring, and remediation • Reduce manual intervention through repeatable scripting solutions • repeatable scripting solutions • Azure Infrastructure & DevOps Integration • Work within Azure environments to support infrastructure dependencies impacting data workloads • infrastructure dependencies impacting data workloads • Utilize Azure DevOps (ADO) for: • Managing database schema changes • database schema changes • Versioning and promoting ADF pipelines • ADF pipelines • Contribute to CI/CD practices for data platform deployments • CI/CD practices • Delivery & Stakeholder Engagement • Work directly with client stakeholders, internal teams, and third-party vendors • client stakeholders, internal teams, and third-party vendors • Operate effectively in environments with unclear ownership, legacy systems, or process gaps • unclear ownership, legacy systems, or process gaps • Communicate clearly around issues, risks, and remediation strategies • issues, risks, and remediation strategies • Demonstrate a willingness to take initiative, assume ownership, and drive outcomes • take initiative, assume ownership, and drive outcomes
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