Senior Assistant Vice President

Principal Data Engineer (Remote)

Location: Remote (Global)

Employment Type: Full-time

About The Role

As a Principal Data Engineer, you will be instrumental in driving the evolution and scalability of our data platform, leveraging Databricks on AWS. You’ll engineer reliable, production-grade data pipelines and collaborate across teams to build data systems that are secure, efficient, and maintainable. We embrace CI/CD, DataOps principles, and treat data pipelines like software.You’ll work in a fully remote team that prioritises clear documentation, async-first communication, and a culture of mentorship, innovation, and autonomy.

Key Responsibilities

• Architect and evolve the overall data engineering strategy and platform capabilities.
• Drive adoption of best practices in modular pipeline design, data quality, and observability.
• Partner with leadership to define and implement data platform roadmaps.
• Provide technical leadership across engineering squads and champion innovation.
• Contribute to foundational frameworks and tooling for DataOps and CI/CD.
• Mentor senior and junior engineers and foster a culture of continuous improvement.
  

Required Skills

• Expert-level knowledge of Databricks, Spark, and distributed data systems.
• Strong Python and SQL expertise with deep understanding of data engineering patterns.
• Experience designing high-throughput, low-latency pipelines and resilient data architectures.
• Proven ability to lead technical initiatives and influence cross-functional teams.
• Familiarity with AWS infrastructure and modern CI/CD tooling.
• Strong technical writing and ability to communicate complex ideas to varied audiences.
  

Nice to Have

• Thought leadership in data mesh, contracts, or federated governance.
• Experience with event-driven architectures (Kafka, Flink, or Kinesis).
• Understanding of lineage, cataloguing, and metadata management tools.
• Experience with cost optimisation and scaling data workloads efficiently.
• Public contributions to open source or knowledge sharing (blogs, talks, etc.).
  

What We Offer

• Fully remote and flexible working environment
• Mentorship and opportunities for technical leadership
• Defined career path in data engineering, architecture, or ML infrastructure
• Learning budget for courses, certifications, or conferences
• Culture that values transparency, autonomy, and technical excellence
  

As a Principal Data Engineer, you will be instrumental in driving the evolution and scalability of our data platform, leveraging Databricks on AWS. You’ll engineer reliable, production-grade data pipelines and collaborate across teams to build data systems that are secure, efficient, and maintainable. We embrace CI/CD, DataOps principles, and treat data pipelines like software.
Our platform applies modern data modeling techniques such as the Medallion Architecture and Data Vault, promoting governed, modular, and scalable data structures. You’ll help us evolve our platform toward a Data-as-a-Product approach—ensuring that data is discoverable, trustworthy, and owned.You’ll work in a fully remote team that prioritises clear documentation, async-first communication, and a culture of mentorship, innovation, and autonomy.