As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modeling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You’ll work closely with cross-functional teams to design and implement robust data solutions that align with business objectives and industry best practices. Building strong partnerships with technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful delivery.
What You Bring- 10+ years of experience in data engineering, data architecture, or related technical fields, with a proven ability to design, build, and optimize large-scale data ecosystems.
- A strong track record of leading complex data engineering initiatives, architecting end-to-end data solutions that are scalable, reliable, and aligned with business strategy.
- Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling, enabling the creation of efficient, high-quality data pipelines and analytical foundations.
- Extensive experience with data integration frameworks and best practices, ensuring seamless, performant data movement across diverse systems and platforms.
- Advanced knowledge of cloud-based data services and architectures, including platforms such as AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent technologies.
- Strong strategic and analytical thinking, allowing you to tackle complex data challenges, drive architectural decisions, and influence long-term data strategy.
- Proficiency with modern data engineering frameworks, including Databricks, Spark, and lakehouse technologies like Delta Lake for managing and processing large-scale datasets.
- Exceptional communication and interpersonal skills, enabling effective collaboration with engineers, product teams, executives, and customers—while influencing technical direction and decision-making.
As a Lead Data Engineer, you will help shape, deliver, and elevate Rearc’s data engineering practice. You’ll lead by example—combining strong technical execution with mentorship, strategic thinking, and a culture-first approach.
- Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints, translating them into scalable, high-quality data solutions.
- Implement with a DataOps mindset, applying modern engineering practices and leveraging tools such as Apache Airflow, Databricks/Spark, Kafka, or similar technologies to build reliable, automated, and efficient data pipelines and architectures.
- Lead and execute complex projects, providing technical direction, setting engineering standards, and ensuring alignment with customer goals and Rearc’s principles.
- Mentor and develop data engineers, offering guidance, code reviews, and hands-on support to help them grow technically and professionally.
- Promote knowledge sharing and thought leadership by contributing to internal and external content—writing technical blogs, sharing best practices, and fostering a culture of continuous learning and innovation.
Some More About Us
Founded in 2016, Rearc is built on the belief that great engineering happens when creativity is encouraged, bureaucracy is eliminated, and people are empowered to challenge the status quo. We’re not just a consultancy—we’re a community of problem-solvers who care deeply about improving the lives of fellow software engineers.
We’re committed to empowering engineers to build awesome products and experiences. Our success hinges on our people’s ability to think freely, speak up with alternative approaches, and push the boundaries of what’s possible. If you're the kind of engineer driven by curiosity, ownership, and the desire to make a real impact—you’ll feel right at home here.
Our approach is simple: give engineers the tools, autonomy, and support they need to create meaningful change—whether that’s for our clients, our team, or the industry at large.
We look for engineers who thrive on responsibility and freedom, who bring both technical excellence and strong leadership, and who are eager to get hands-on. Our ideal team members don’t just talk the talk—they walk the walk, designing and building solutions that raise the bar for cloud, data, and modern engineering.
Join us, and let’s build great things together.
Benefits & Perks- Comprehensive health benefits
- Generous time away and flexible PTO
- Maternity and paternity leave
- Access to educational resources with reimbursement for continued learning
- 401(k) plan with company contribution
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
