We’re hiring a hands-on Data Engineer (Architect) to design, build, and operate scalable geospatial data platforms for maritime mobility data (e.g., AIS trajectories). You’ll own architecture and engineering decisions end-to-end: ingestion → transformations → curated datasets → performance/cost tuning → production reliability, governance, and security.

Responsibilities

• Architect and implement geospatial-first data platforms for high-volume mobility data
• Design raw → staging → curated datasets with strong schemas, table definitions, and naming conventions
• Define BigQuery partitioning/clustering strategies and PostgreSQL/PostGIS indexing for scale
• Build batch + streaming pipelines for near-real-time positional updates and large historical backfills
• Implement incremental, idempotent, replayable transformations and automated reprocessing workflows
• Execute data migrations and cutovers with reconciliation and minimal downtime
• Optimize BigQuery query patterns, materialization strategy, and cost-performance tradeoffs
• Tune PostgreSQL query plans, indexing, and operational maintenance for consistent performance
• Implement CDC strategies (where applicable) with replayability and reliable recovery paths
• Productionize pipelines with CI/CD, environment separation, and infrastructure automation
• Build observability (logging, metrics, alerts), define SLAs, and maintain runbooks for incident response
• Define governance standards: ownership, lineage, access controls, retention, and auditability
• Secure platform access and secrets management across BigQuery/PostgreSQL/object storage/runtime
• Partner with Data Science/Analytics stakeholders to translate needs into scalable data products
• Provide technical leadership, mentor engineers, and maintain architecture + pipeline documentation

Qualifications

What We Look For

We’re looking for growth-minded data engineers with high learning agility and strong engineering judgment—people who design architecture-first, production-ready geospatial data systems with clear conventions, idempotent and replayable pipelines, and disciplined observability/governance, balancing cost and performance while delivering reliable datasets for real-world maritime operations; this is a startup environment, so expect a fast pace and evolving requirements.

Apply Now.

Visit us at https://lync-lab.com/