Rearc · 2 months ago
Lead Data Engineer (Databricks)
Rearc is a company founded on the belief that great engineering happens when creativity is encouraged and bureaucracy is eliminated. As a Lead Data Engineer, you will establish and maintain technical excellence within the data engineering team, optimizing data workflows and collaborating with cross-functional teams to implement robust data solutions aligned with business objectives.
ConsultingInformation TechnologySoftware
Responsibilities
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
Qualification
Required
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
Benefits
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
Company
Rearc
Rearc IT consulting firm that engages in cloud technology.
H1B Sponsorship
Rearc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (2)
2021 (3)
Funding
Current Stage
Growth StageRecent News
PR Newswire UK
2025-09-30
Company data provided by crunchbase