Senior Data Engineer

About The Role

As a Senior 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 modelling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You'll collaborate closely with cross-functionally teams to design and implement robust data solutions that meet business objectives and adhere to best practices in data management.

Building strong partnerships with both technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful implementation.

• Provide strategic data engineering leadership by shaping the vision, roadmap, and technical direction of data initiatives to align with business goals.
• Architect and build scalable, reliable data solutions, including complex data pipelines and distributed systems, using modern frameworks and technologies (e.g., Spark, Kafka, Kubernetes, Databricks, DBT).
• Drive innovation by evaluating, proposing, and adopting new tools, patterns, and methodologies that improve data quality, performance, and efficiency.
• Apply deep technical expertise in ETL/ELT design, data modeling, data warehousing, and workflow optimization to ensure robust, high-quality data systems.
• Collaborate across teams—partner with engineering, product, analytics, and customer stakeholders to understand requirements and deliver impactful, scalable solutions.
• Mentor and coach junior engineers, fostering growth, knowledge-sharing, and best practices within the data engineering team.
• Contribute to thought leadership through knowledge-sharing, writing technical articles, speaking at meetups or conferences, or representing the team in industry conversations.

• 8+ years of professional experience in data engineering across modern cloud architectures and diverse data systems.
• Expertise in designing and implementing data warehouses and data lakes across modern cloud environments (e.g., AWS, Azure, or GCP), with experience in technologies such as Redshift, Big Query, Snowflake, Delta Lake, or Iceberg.
• Strong Python experience for data engineering, including libraries like Pandas, PySpark, Num Py, or Dask.
• Hands-on experience with Spark and Databricks (highly desirable).
• Experience building and orchestrating data pipelines using Airflow, Databricks, DBT, or AWS Glue.
• Strong SQL skills and experience with both SQL and No
  
  SQL databases (Postgre
  
  SQL, Dynamo
  
  DB, Redshift, Delta Lake, Iceberg).
• Solid understanding of data architecture principles, data modeling, and best practices for scalable data systems.
• Experience with cloud provider services (AWS, Azure, or GCP) and comfort using command-line interfaces or SDKs as part of development workflows.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Cloud Formation, ARM/Bicep, or AWS CDK.
• Excellent communication skills, able to explain technical concepts to technical and non-technical stakeholders.
• Adaptability and comfort working in dynamic, fast-changing environments.

Your first few weeks at Rearc will be spent in an immersive learning environment where our team will help you get up to speed. Within the first few months, you’ll have the opportunity to experiment with a lot of different tools as you find your place on the team.

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place! Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.

We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push…