Data Engineering Manager: Lead High-Impact Data Solutions

Miaz-Tech Llc; Murphy (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Miaz-Tech is seeking a Data Engineering Manager to lead a team of data engineers and shape our data engineering roadmap. You will coach engineers, manage performance, collaborate with data solutions managers and the director, and drive sustainable architectural decisions across engagements.

You will balance technical leadership with people leadership, ensuring availability, quality, and timely delivery of data pipelines while growing the team's capabilities and contributing to internal resources

Qualifications

• Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake)
• Knowledge of common data integration patterns (e.g., CDC, ELT, etc.)
• Intermediate / expert proficiency with common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow)
• Experience mentoring and advising other engineers
• Experience with optimizing resource allocation by assessing team members’ strengths and assigning tasks according to their expertise, while promoting skill growth
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

Responsibilities

• Leads a team of data engineers, typically consisting of 5 to 8 direct reports
• Advocates for and protects team time to contribute to internal projects
• Pushes for sustainable technical architectural decisions in the team with a long-term approach in mind
• Recruit, train, supervise and support the development of team members in data engineering functions
• Conduct performance reviews under the guidance and in close collaboration with the functional associate director / director
• Has a good balance of technical knowledge and can coach other engineers and data solutions managers
• Supports engineering projects on tier 1 client engagements with assistance from more senior Engineering management, translating client business questions and needs into engineering requirements
• Advises clients on selection of data engineering tools, systems, and approaches
• Selects, configures and implements engineering solutions and tools using best practices
• Contributes advanced engineering skills and knowledge to client engagements
• Contributes to internal and externally facing resources for data engineering teams (e.g. add to internal wiki, write a blog post, etc.)
• Plans for sustainable growth of their team and builds a clear roadmap for milestones and impact; leads hiring for their team based on hiring plans provided by People Ops and Director
• Directly supports day-to-day execution of work, while may need support in driving larger, strategic pieces
• Is accountable within their team for the availability and reliability of the systems their team builds
• Makes sure the team is prioritizing availability and quality vs. new feature development appropriately
• Work collaboratively with other data functional teams such as data analytics, analytics engineering, and data solutions to achieve client goals
• Guide a team in the successful and timely execution of project deliverables
• Be accountable for the quality of your team’s work

Skills

Leadership

Mentoring

Communication

Team management

Tools

Snowflake

BigQuery

Fivetran

Azure Data Factory

Airflow

Job description

Miaz-Tech is seeking a Data Engineering Manager to lead a team of data engineers and shape our data engineering roadmap. You will coach engineers, manage performance, collaborate with data solutions managers and the director, and drive sustainable architectural decisions across engagements.

You will balance technical leadership with people leadership, ensuring availability, quality, and timely delivery of data pipelines while growing the team's capabilities and contributing to internal resources