Senior Data Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop essential capabilities for the core data platform, including services and APIs for data access, query execution, ingestion, and synchronization.

• Create reusable connector frameworks and abstractions that support various systems and access patterns.

• Identify and resolve bottlenecks in data querying and movement, enhancing performance through partitioning, parallelism, and effective memory and storage management.

• Implement orchestration, retries, checkpointing, and observability to ensure reliable workload recovery and data integrity.

• Transition capabilities from design to production.

• Collaborate with product and engineering teams to define interfaces and evaluate architectural trade-offs.

• Manage the systems and capabilities that have been developed.

⛳️ Requirements

• A minimum of 4+ years of experience as a Data Platform Engineer.

• Proficient in Python and SQL.

• Experience in building maintainable and tested production software.

• Background in developing backend services, data infrastructure, or data platform components beyond simply configuring pipelines.

• Strong understanding of relational databases, query optimization, data formats, and the trade-offs between querying data in place and materializing it elsewhere.

• Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging.

• Capability to investigate unfamiliar systems and transform complex requirements into clear, actionable designs.

• Familiarity with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure is a plus.

• Experience in building connector libraries, developer-facing APIs, or shared platforms utilized by other engineering teams is particularly relevant.

• Knowledge of cloud infrastructure (AWS, Azure, or GCP), encompassing networking, storage, identity and access management (IAM), and infrastructure as code is advantageous.

• Authorization to work in the U.S.

• Must indicate whether immigration sponsorship is required now or in the future.

🏝️ Benefits

• Equity.

• Opportunity to develop AI products that address complex enterprise challenges.

• Work at the intersection of AI, ERP systems, and automation.

• High ownership, significant impact, and direct influence on product direction.

• Collaborate with a highly technical and customer-focused team.