Data Engineering Manager, Carrot Fertility

• The Business Intelligence team at Carrot is a highly cross-functional team that is central to Carrot’s long-term success. The growing team is led by our Senior Director of Analytics and Business Intelligence and includes data engineers, data scientists, and business intelligence analysts
• Minimum of 5-7 years in data engineering or related field, with advanced knowledge in SQL (4+ years of practical application) and Python development, including unit and integration testing (4+ years of practical application)
• Strong proficiency in cloud-based data technologies (e.g., Snowflake, AWS), database relational modeling, version control systems (Git preferred), and modern data ingestion/transformation tools (e.g., Fivetran, dbt)
• Demonstrated ability to build end-to-end ETL/ELT pipelines, orchestrate workflow (e.g., Prefect, Airflow), and automate tasks for efficiency
• Excellent communication skills, capable of empathetic interactions and clear, concise dialogue with both technical and non-technical stakeholders
• Proven experience in strategic planning, with a preference for skills in whiteboarding tools (Figma), presentations, and project management (JIRA)
• Adaptability to change, resilience in ambiguous situations, and dependability in balancing various priorities alongside a strong, technical capability
• Comfort in providing constructive feedback to all levels of the organization with tact and a strong sense of empathy, including the ability to effectively gauge the mood of virtual meetings
• Proficient in data governance and compliance protocols, with a thorough understanding of security best practices, including secure file transfer protocols (sFTP), to ensure data integrity and confidentiality
• Skilled in developing and implementing data security policies and procedures, pairing with Information Security & Legal team partners, aligning with industry standards and regulations to safeguard information and comply with data protection laws

Desirable

• Carrot is seeking a Data Engineering Manager to join our Business Intelligence function as it scales to meet - and anticipate - the needs of the organization and its clients
• As a Data Engineering Manager at Carrot, you will primarily be in a coaching/leadership role, but you should also be prepared to get in the weeds and work on technical projects given the small-but-mighty nature of the team
• You will be tasked with defining and driving the development of the BI department’s data engineering function
• Data Engineering Managers help the engineers on their team to develop, maintain, and support enterprise data solutions from ETL/ELT pipeline development to data warehouse administration and workflow orchestration
• The reliability of these systems is essential for the accuracy and recency of data that is used by the organization to inform data-driven decision-making
• This position requires a confident leader who is passionate about supporting career advancement and professional development for all data engineers, overseeing scalable data pipelines, and increasing efficiency and maturity in a fast-paced environment
• Management and mentorship of team members with different skill sets, levels of expertise, and technical areas of focus
• Clear, concise, and consistent upward communication to both technical and non-technical stakeholders
• Overseeing the design and execution of Business Intelligence data infrastructure, including but not limited to identifying opportunities for data acquisition, and exploring ways to enhance data quality and reliability
• Leading day-to-day operations of the team and the regular delivery of data engineering initiatives and projects
• Continuously seeking improved efficiencies, including potentially challenging existing processes and having difficult conversations to drive the team forward
• Leading strategic conversations with BI, engineering, and product leadership in order to gather, interpret, and document business requirements and translate them into engineering roadmap items
• Creating detailed documents using Atlassian tools to describe the solution and build architecture diagrams that adhere to standards to socialize the solution to leadership
• Overseeing and contributing to the development of software systems that enable advanced data analytics capabilities, for example, complex data visualization and advanced algorithms
• Facilitating team partnership with backend product engineers to optimize production database schemas with data use cases in mind
• Facilitating inter-departmental partnerships with stakeholder teams to improve their data infrastructure through automation support, data education, and strategic support
• Facilitating cross-team communication to minimize redundancies and keep teammates moving in step
• Mentoring and developing junior teammates through pairing, architecture discussions, PR reviews, and big-picture/strategic support