As a Data Engineering Manager, you are responsible for leading and managing a team of Data Engineers while actively contributing to the development and implementation of data engineering solutions. Your primary focus will be to address pain points related to engineering culture, provide coaching and feedback to your direct reports, and stay up-to-date with industry trends in a way that benefits the company. You will play a crucial role in driving employee retention, resourcing, learnings management, presales, feedback gathering, QA, and internal engineering processes.

Team Leadership: You are responsible for a diverse team of data engineers, at different levels in their careers. You will foster their growth, and wellbeing of the team, as well as pairing with the team to solve interesting engineering challenges. You will work closely with data solutions managers and your director to ensure adequate and sustainable data engineering coverage across engagements.

• 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

Functional Leadership: You are responsible for working with clients to build guidelines for the infrastructure to support the storing and movement of data, and implement data engineering tools to support data-driven decision-making, and develop strategies to ensure consistency and security with their data products.

• Has a good balance of technical knowledge and can coach other engineers and data solutions managers on their areas of expertise
• 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

Project Delivery: You are responsible for improving core data engineering deliverables by supporting internal process reviews, recommending and implementing data engineering tools and technologies that best suit the client’s needs.

• 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

Tools & Technologies

• Programming languages (e.g. SQL, Python)
• Data Processing (e.g. Apache Spark, dbt)
• Cloud-based data warehouses (e.g., Snowflake, Google BigQuery)
• Data orchestration (e.g., Apache Airflow, Azure Data Factory, Prefect)

Technical Skills (Hard Skills)

• Has a deep understanding of some the technical domains covered by the team and has an opinion on how a project should be moving forward
• Solidly meets the level of a Senior Data Engineer
• Can rapidly get up-to-speed on client needs and provide guidance on how to meet them.
• Can help coach other Engineers and Data Solutions Managers (where needed) on why a feature is being built / architectural component is being introduced, what client problem it’s solving and the expected impact

Essential Skills (Intangible Skills)

• Collaboration & Partnership: You can facilitate collaborative group activities and/or workshops with colleagues or external stakeholders.
• Effective Communication: You reliably foster a culture of clear, concise, effective, audience-oriented communication for your team, other departments, and external stakeholders, ensuring those around you are actively listening as well as are understood.
• Developing Others: You understand your team’s domain, share knowledge frequently with your teammates and contribute to the team’s documentation. You proactively watch for opportunities to share knowledge and encourage others to do the same.
• Human-Centered Design: You actively surface data relevant to the team, and design tests based on data-driven hypotheses. You look for data outside your immediate reach to further flesh out stakeholder needs. You ensure that every conversation you have with your team involves the needs of others, especially those who are not represented in the conversation.

Qualifications (Must Haves)

• 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.

Physical Requirements

• Frequent sitting at a desk performing work on a computer
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Core Company Values

Miaz-Tech is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. We pride ourselves on our people-first culture and a low-ego workplace that embraces experimentation, collaboration and continuous improvement. We offer flexible work locations, competitive pay, and excellent benefits.

• Take the Long View – Ensure the company is built to last
• Be Courageous – Make the right decisions even when they aren’t the easiest decisions
• Be Genuine – Bring honesty and authenticity to all that you do
• Work with Focus + Passion – Display purpose and pride in your work and never stop learning

As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don’t hesitate to apply even if you’re not 100% sure.

At this time, Miaz-Tech does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.

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