Data Engineering Leader for Scalable Growth
Há 6 dias
Why Housecall Pro?
Help us build solutions that improve lives. At Housecall Pro, we strive to make a difference for real people: the home service professionals supporting America's 100 million homes. We focus on helping them streamline operations, scale their businesses, and save time to spend with their families and live well.
We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together.
What's in it for you?
A remote environment designed to feel like a team without leaving your home office. Self-managed PTO - Beach? Mountains? Camping? Discovering new experiences? You're free to take time out as needed. Flexible work hours - We believe you can reach your professional and personal goals working with us and encourage you to maintain a work-life balance. A culture built on innovation that values big ideas - We're always open to new ideas that will improve the life of our Pros. Monthly tech reimbursements
Role Overview:
As a Senior Data Engineering Product Manager – Internal Tooling, you drive operational excellence and enable scalable growth for our internal teams. Collaborating daily with data engineers and cross-functional stakeholders, you shape roadmaps, structures, and frameworks that deliver impactful, data-driven solutions. You're a strategic thinker with exceptional analytical abilities, capable of navigating complex business and technical relationships to create meaningful outcomes.
You lead the strategy for deploying, scaling, and optimizing internal processes while ensuring alignment with business objectives, customer impact, and technical feasibility. Your work enhances decision-making, customer experiences, and organizational efficiency.
What you do each day:
- Define and execute the product roadmap for data engineering, pipelines, ETL processes, and data warehousing solutions
- Collaborate with stakeholders to gather requirements, prioritize features, and align with business goals
- Drive innovation by staying current with industry trends in data infrastructure, cloud data platforms, and big data technologies
- Collaborate with Data Engineering teams to enhance data pipelines, ensuring scalability, efficiency, and reliability
- Develop strategies for data governance, quality, and lifecycle management
- Prioritize product enhancements, bug fixes, and new feature development to balance immediate needs with long-term strategy
- Provide insights and guidance on warehouse technologies such as Snowflake, BigQuery, or Redshift
- Partner with Data Operations to ensure smooth deployments, performance monitoring, and scalability
- Define and track KPIs to measure success, user satisfaction, and business impact
Qualifications:
- 5+ years of product management experience with a strong focus on data engineering, data warehousing, or related domains
- Deep understanding of modern data infrastructure, including data lakes, cloud warehouses, ETL pipelines, and distributed systems
- Proficiency in cloud platforms (AWS, GCP, Azure) and tools like Databricks, Kafka, and AWS Glue
- Experience working with Snowflake and marketing platforms such as Facebook Ads or Google Ads
- Intermediate proficiency in SQL
- Strong analytical skills with a data-driven approach to decision-making
- Proven record of delivering complex technical products with high customer satisfaction
- Excellent communication and leadership skills, simplifying technical concepts for non-technical stakeholders
- Demonstrated success in driving operational efficiency and leading change management initiatives
Compensation Range: $98,280 - $109,200 per year. Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro celebrates diversity and is committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law.
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