Azure Network Engineer

Senior Azure Data Platform Engineer (ADF & SQL Platform Lead) Work Environment: Remote / Client Site (Arizona) Physical Work Location: Arizona (Remote/Hybrid) Summary: Senior-Level | Long-Term Contract. 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. Primary Duties 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) to manage database schema changes, version, and promote ADF pipelines, and 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 willingness to take initiative, assume ownership, and drive outcomes. Competency Technical ownership and accountability; proactive problem‑solving; clear communication under pressure; ability to operate independently in ambiguous, high‑friction environments; balance of deep technical execution with client‑facing delivery. Experience 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 and 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, and performance bottlenecks. Hands‑on experience with Python and/or PowerShell scripting. Experience with Azure DevOps (ADO) for managing code and deployments. #J-18808-Ljbffr Openkyber