Staff Implementations Data Engineer
Core
Design, develop, and operate distributed big-data pipelines for network analysis, ML, and data fusion to power a global AI-powered trade network for governments and businesses.
Role type
Staff Implementations Data Engineer (Technical Lead)
Builds
Scalable data ingestion, standardization, and fusion pipelines integrated with customer cloud environments and Altana's knowledge graph.
Domain
Global trade, supply chain resilience, public sector compliance, AI/ML infrastructure.
Deliverable
production ML models | data pipelines | infrastructure
Required skills
Distributed big-data pipeline design and deployment, data modeling across complex schemas, end-to-end lifecycle ownership (design to maintain), cloud infrastructure management (AWS/GCP/Azure), mentoring engineers, technical architecture bridging for client requirements.
Preferred skills
ML pipeline deployment, data platform management, trade compliance domain knowledge, public sector experience, AI tool usage.
Technologies
Python, Spark, SQL, AWS, Azure, Kubernetes, Docker, Terraform, Databricks, OpenSearch, Postgres, Datadog
Responsibilities
Develop and improve distributed big-data pipelines for network analysis and ML; drive technology scalability to meet evolving customer needs; support platform reliability, cost controls, and security accreditations; serve as technical expert in client-facing meetings; evaluate and recommend new tools and best practices for data engineering.
Seniority
Staff, hands-on IC with technical leadership and mentorship
