Engineering Manager

Vizient•Irving, TX

5d•Hybrid

About The Position

Oversee and direct the technical execution of software and data engineering teams, ensuring delivery through appropriate engineering methods, best practices, and modern technologies. Partner with product owners, business stakeholders, and subject matter experts to gather requirements, translate business needs into technical solutions and data products, and deliver high-quality outcomes on schedule. Establish, enforce, and continuously improve engineering standards for coding, documentation, testing, peer code reviews, and release controls. Provide oversight of implementation plans and enterprise solution alignment, ensuring architectural consistency, platform integration, and compliance with organizational technology standards. Lead and improve SDLC and agile practices, drive agile ceremonies, refine engineering processes, and promote team cohesion to improve predictability and throughput. Identify, escalate, and resolve technical dependencies, operational issues, process gaps, and cross-team impediments. Ensure product and platform quality, reliability, and performance through operational readiness, monitoring and alerting expectations, and continuous improvement. Evaluate and standardize development tools and technologies, staying current with industry trends and guiding consistent adoption. Collaborate with analytics and data science teams to evaluate AI/ML use cases, support model operationalization, and integrate AI/ML capabilities into engineering platforms and products in a governed, scalable manner. Mentor and develop engineers through one-to-one coaching, performance feedback, review cycles, and targeted upskilling plans. Supervise Software Developers, Business Intelligence Analysts, and Software Quality Assurance Analysts and Testers. The role uses Azure Databricks, Delta Lake, Apache Spark, SQL, Python, Azure Data Factory (ADF), Azure Data Lake Storage (Gen2), Azure Key Vault, AIML, REST APIs, Git, CI/CD Pipelines, Azure DevOps, Pulumi, Data Quality frameworks, Medallion Architecture, Data Modeling, Automic (UC4), Power BI, and SSIS. Full-time telecommuting from a home office is available within commuting distance of the headquarters at 290 E John Carpenter Fwy, Irving, TX 75062. Up to 10% domestic U.S. travel per year is required to attend leadership training and corporate events. Salary is $214,386 per year; the position is also incentive eligible. Visa sponsorship is not available.

Requirements

Bachelor’s degree or equivalent in Computer Science, Computer Information Systems, Electrical Engineering, Electronics Engineering, or a related field.
Five years of related progressive, post-baccalaureate experience in a software development or engineering occupation.
At least 60 months of experience performing data analysis and validation using complex T-SQL/SQL queries, including joins and subqueries, and implementing triggers and primary/foreign key constraints to enforce business rules and data integrity.
At least 60 months of experience designing and developing ETL solutions using SSIS, including advanced transformations and control-flow automation.
At least 60 months of experience deploying and supporting production ETL processes, including SSIS package configurations, event handlers, checkpoints, logging, and operational troubleshooting and error handling.
At least 60 months of experience automating ETL scheduling and batch workflows using Automic (UC4) jobs, job plans, and event triggers, including file-transfer automation.
At least 60 months of experience developing data-movement solutions across heterogeneous sources and formats using SSIS, BCP, Bulk Insert, or DTS; integrating Oracle, DB2, and SQL Server; and ingesting flat files, Excel, CSV, and XML.
Up to 10% domestic U.S. travel per year to attend leadership training and corporate events.

Responsibilities

Oversee and direct technical execution of software and data engineering teams to ensure delivery using appropriate engineering methods, best practices, and modern technologies.
Partner with product owners, business stakeholders, and subject matter experts to gather requirements and translate business needs into technical solutions and data products.
Establish, enforce, and continuously improve coding, documentation, testing, peer-review, and release-control standards.
Oversee implementation plans and enterprise solution alignment to ensure architectural consistency, platform integration, and adherence to organizational technology standards.
Lead and improve SDLC and agile practices, including agile ceremonies, engineering processes, team cohesion, predictability, and throughput.
Identify, escalate, and resolve technical dependencies, operational issues, process gaps, and cross-team impediments.
Ensure product and platform quality, reliability, and performance through operational readiness, monitoring and alerting expectations, and continuous improvement.
Evaluate, select, and standardize development tools and technologies; guide teams on adoption and consistent usage.
Collaborate with analytics and data science teams to evaluate AI/ML use cases, support model operationalization, and integrate governed, scalable AI/ML capabilities into platforms and products.
Mentor and develop engineers through coaching, performance feedback, review cycles, and targeted upskilling plans.
Supervise Software Developers, Business Intelligence Analysts, and Software Quality Assurance Analysts and Testers.