Staff Analytics Engineer

Summary

Join Babylist's Data Team as a Staff Analytics Engineer and play a pivotal role in designing, building, and scaling our core data platform and data products. You will lead the design and implementation of scalable SQL transformations, drive thought leadership in dbt strategy, and architect reusable data models. This leadership role requires 10+ years of experience in analytics or data engineering with proven leadership responsibilities, deep proficiency in SQL and dbt, and extensive experience with Python. You'll collaborate with cross-functional stakeholders, mentor team members, and drive innovation in analytics. Babylist offers competitive pay, comprehensive benefits including company-paid medical, dental, and vision, generous parental leave, and a 401k match, fostering a supportive and collaborative work environment.

Requirements

• 10+ years of hands-on experience in analytics, data engineering, or analytics engineering with demonstrated increasing leadership responsibilities
• Deep proficiency in SQL, including architecting scalable transformations and frameworks to handle enterprise-scale datasets
• Advanced experience with dbt, including designing centralized metrics layers, custom macros, and reusable transformations to standardize data practices company-wide
• Extensive proficiency with Python, including designing reusable frameworks, advanced patterns (e.g., decorators, multithreading), and integrations for data workflows
• Proficiency in Sigma or similar data visualization tools, including the ability to create reusable templates and optimize dashboards
• Experience with cloud-based data warehouses (e.g., Snowflake) and ETL/ELT pipelines
• Proven track record of aligning technical solutions with long-term strategic priorities and communicating technical vision to leadership audiences
• Ability to diagnose complex business challenges and design innovative, scalable solutions that address both short-term and long-term goals
• Demonstrated leadership in cross-functional collaboration, building alignment across diverse teams, and influencing organizational priorities
• Experience mentoring teams and leading initiatives to improve data practices, tooling, and collaboration across the organization

Responsibilities

• Lead the design and implementation of scalable SQL transformations, frameworks, and governance practices to support data pipelines and models across the organization
• Drive thought leadership to define the team’s dbt strategy through innovations like centralized metric definitions, CI testing frameworks, and organization-wide alignment of data models
• Develop advanced dbt structures like custom macros and metrics layers to enhance flexibility and scalability
• Architect and standardize reusable data models to scale analytics across the company, ensuring alignment with enterprise-wide goals and future scalability
• Define and scale development, quality, and governance standards for Sigma; leading the adoption of advanced features and workflows to maximize efficiency and cross-team alignment
• Collaborate with senior leadership and cross-functional stakeholders to define and execute on data strategies that align with broader company objectives
• Proactively identify and address systemic inefficiencies in workflows and processes, introducing scalable, sustainable improvements across teams
• Mentor and guide team members, junior engineers and data users to develop their skills in advanced techniques, tools, and best practices while fostering a collaborative culture
• Drive innovation in analytics and experimentation, identifying opportunities for advanced methodologies and creating frameworks to scale these efforts across the organization

Preferred Qualifications

• Experience with data cataloging and metadata management tools, such as Atlan, Alation, or similar platforms, to drive discoverability, community, and governance of data assets
• Proven ability to lead cross-functional initiatives that improve data quality and reliability, such as implementing data observability frameworks or designing automated data validation processes
• Experience driving cost optimization initiatives in cloud-based data platforms, including warehouse efficiency, query optimization, and storage strategy
• Knowledge of event-driven architectures and tools such as Kafka or AWS SNS/SQS for building scalable, real-time data pipelines
• Experience integrating and scaling third-party tools or platforms to enhance data workflows, such as automation tools, observability platforms, or advanced ETL/ELT solutions

Benefits

• We invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
• We work at a sustainable pace which means work/life balance is a real thing here
• We offer competitive pay and meaningful opportunities for career advancement
• We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
• We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning
• In addition, Babylist offers equity, bonus, and benefits, including company paid health, dental and vision insurance, 401(k) matching, flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies