Lead Data Engineer 5075

Tier4 Group is seeking a Lead Data Engineer responsible for building and scaling the data infrastructure that powers their programs and products. This role involves ensuring data integrity, collaborating on scalable data solutions, and managing project timelines while fostering a high-performance culture within the team.

Responsibilities:

• Conduct detailed assessments of database architecture to uphold data integrity, quality, performance, and scalability, while adhering to industry best practices
• Collaborate in the design and construction of a scalable data infrastructure, leveraging technologies like AWS, Redshift, Salesforce, DBT, and more
• Play a key role in scoping and deploying data pipelines within our infrastructure, ensuring seamless data transfer for programmatic requirements such as integrating calling systems with Salesforce and Redshift
• Evaluate new tools and propose enhancements to existing systems and processes to optimize efficiency and effectiveness
• Implement and oversee alerts to monitor data infrastructure health and track metrics showcasing data quality
• Develop and maintain comprehensive documentation on data flows and mappings to ensure transparency and operational efficiency
• Promptly address requests for data and reporting, ensuring timely delivery and responsiveness to stakeholder needs
• Skillfully manage project timelines and deliverables, ensuring prompt completion and optimal outcomes
• Provide regular, clear updates and status reports to keep stakeholders informed and engaged
• Establish and maintain a robust issue tracking system, enabling the identification, prioritization, and resolution of challenges encountered during project execution
• Collaborate with the team to identify opportunities for innovation and improvement, actively contributing to the continuous evolution of our data infrastructure and engineering capabilities
• Oversee and develop direct reports, fostering a culture of high performance, accountability, and continuous learning
• Establish clear goals, KPIs, and performance expectations for direct reports, conduct regular performance reviews, and provide actionable feedback
• Identify and nurture talent within the Digital Innovation team, providing coaching, mentorship, and career development opportunities to support employee growth and retention

Requirements:

• 2+ years as a Senior Data Engineer OR 6+ years' experience in data engineering
• Expertise in utilizing DBT or similar ETL tools, along with a history of successfully designing and building tables and databases
• Strong database architecture skills, coupled with critical thinking and problem-solving abilities, enabling the handling of ambiguous and evolving requirements
• Proven experience building and optimizing data environments, preferably in AWS and Redshift
• Proficient in SQL and Python, with the ability to utilize these tools effectively
• Seasoned in refining and enhancing existing data pipelines to unlock peak efficiency and exceptional performance
• Skilled in collaborating with stakeholders to identify critical issues, prioritize solutions, and devise effective solutions utilizing resources
• Self-motivated problem solver with a keen eye for identifying and rectifying data inaccuracies
• Proficient in conducting research, proposing innovative tools and setups, and leading migrations, with a knack for planning and execution
• Experience working with external vendors/contracts and adept at communicating complex technical concepts to both technical and non-technical audiences
• Collaborative mindset, thriving in cross-functional teams by effectively sharing knowledge and contributing to the delivery of high-quality products
• Prior experience operating within a mission-driven or advocacy-adjacent organization
• Experience working with web data, including collection, transformation, and analysis of user interaction data