Data Engineering Manager

JOB SUMMARY

The data engineering manager is a technical leader responsible for overseeing and managing the data engineer team. This role encompasses guiding the team in making crucial technical decisions to develop production-grade data products, including data infrastructure, data pipelines, and data architecture. This role will ensure the highest standards of data quality and performance, developing robust technical roadmaps that align with Grata's strategic objectives. Additionally, it will prioritize and organize the team's workload, ensuring optimal efficiency. Beyond that, foster career growth by providing mentorship opportunities and empowering your team to thrive professionally.

ESSENTIAL FUNCTIONS
Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

• Build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
• Provide deep technical guidance and support the team in driving large projects within complex dependencies and multiple stakeholders
• Oversee the development and maintenance of high-performance data infrastructure and architecture utilizing tools such as Databricks, Azure, Azure Data Factory, and other industry-leading tools
• Collaborate in technical/architectural discussions, provide direction, research and recommend frameworks, and drive decision-making
• Overseeing the processes of unit testing, establishing SLAs, ensuring data quality checks, and performing code reviews
• Collaborate closely with technical leads to develop long-term visions and innovative strategies for data utilization
• Collaborate with various stakeholders, gather deep domain expertise, and own delivery of projects across multiple streams
• Provide a low-friction path for the productization of AI/ML data science projects
• Demonstrates proficiency and up-to-date knowledge in languages, data platforms, cloud services, and emerging technologies in data engineering and analytics

Performs other related duties as necessary or assigned.

SUCCESS PROFILE
Knowledge, Skills, and Abilities

• Demonstrate the Wellabe core competencies of change, communication, customer focus, financial acumen, innovation, teamwork, critical thinking, and decision making. For a full description of each competency, please visit wellabe.com/core-competencies.
• Embrace and foster a diverse and inclusive culture that aligns with our commitment to THRIVE Toolkit: We are building resources for employee reference, including a diversity driven book club, leadership training, and a culture of betterment philosophy. Hear: Every employee has a voice. We listen with attention to gain knowledge and to understand. Respect: We empower people by respecting and appreciating their differences. Inclusion: We support a collaborative workforce that promotes belonging and respect that increases participation and contribution from all employees. Value: All employees are appreciated for their uniqueness. Equity: For all.
• Demonstrate an Agile mindset* of trust, teamwork, and transparency and capability to implement agile tools into daily work, allowing for quick adaption to change. (*An agile mindset is the set of attitudes supporting an agile working environment including trust, teamwork, transparency, respect, improvement, ongoing learning, pride in ownership, focus on delivering value, and the ability to adapt to change.)
• Embrace our culture of betterment, which surrounds the question: Does this decision fit with our mission and core values while enhancing the outcome for our customers, our business, and our associates.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• In depth knowledge of modern data engineering and data architecture technologies and principles required
• Strong knowledge of data architecture, data modeling, data science and data infrastructure ecosystems
• Passionate about data quality and infrastructure performance, with a focus on delivering high-quality outcomes
• Proven ability to drive broad enterprise alignment and the successful implementation of impactful technology solutions
• Demonstrates a clear mastery of the logical and physical database design and data normalization concepts
• Passionate advocate for leveraging data solutions and practices to unlock business value
• Exposure to Power BI consumption or related tools

EDUCATION AND EXPERIENCE

Education

• Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field. Combination of education and/or relevant work experience may be accepted in lieu of degree

Experience

• 5+ years applied experience with data engineering technologies and processes
• 5+ years of experience implementing data architectures, dimensional models, ETL, workload scheduling and orchestration framework
• 3+ years of hands-on experience in managing Spark clusters such as Databricks, including managing and optimizing utilization of Databricks clusters, Autoloader, DLT Pipelines, Unity Catalog
• Experience leading teams of technologists
• Practical cloud native experience
• Formal training or certification on data engineering concepts, preferred.
• Experience developing Azure Data Factory pipelines, preferred.
• Experience in modernizing legacy data systems, preferred.