- Design, build, and maintain scalable ETL data pipelines in data platforms using PySpark, SQL, and Pipeline Builder to ingest, integrate, and transform supply chain data (inventory, logistics, procurement, distribution, operations).
- Translate supply chain business requirements into well-defined data products (tables, views, curated datasets) by partnering with supply chain SMEs, analysts, and stakeholders to ensure fit-for-purpose outputs.
- Develop and maintain a supply chain data ontology by defining core data objects, relationships, and events/actions (e.g., item, location, order, shipment, lead time) to enable enterprise-wide analysis and scenario modeling.
- Implement automated workflows that support supply chain scenarios (e.g., inventory rebalancing, transportation routing, supplier performance) and enable near-real-time and predictive analytics consumption.
- Optimize pipeline performance and cost through partitioning strategies, incremental processing, query tuning, and efficient data modeling to meet SLAs and analytics latency expectations.
- Monitor and troubleshoot data pipelines end-to-end by setting up alerts, investigating failures, performing root-cause analysis, and deploying fixes to restore data availability quickly.
- Ensure data quality and reliability by implementing validation rules, reconciliation checks, and anomaly detection for key supply chain measures (e.g., on-hand, demand, service level, lead time, OTIF).
- Support supply chain optimization initiatives by preparing clean, well-documented datasets and features for data science and operations research models and partnering on deployment into production workflows.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
- Bachelor’s degree required
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- 8+ years of experience as a Data Scientist, or Data Engineer.
- 5+ years building and operating data pipelines and data products for analytics/AI use cases.
- 4+ years of experience in leading and delivering data driven client solutions.
- 4+ year of experience developing ETL pipelines using PySpark.
- Active Secret security clearance required.
- Ability to work onsite 100% of the time in Huntsville, AL.
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Knowledge of Palantir Foundry platform and suite of capabilities.
- Previous Supply chain domain experience preferred.
- Strong problem-solving and design skills.
- Experience with software delivery methodologies such as agile/scrum.
- Strong communication and presentation skills.
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