SafetyChain offers a pivotal role at the intersection of data engineering, business intelligence, and applied AI, with the analytics layer at the heart of our platform for the food and beverage supply chain. This hybrid position in Grapevine, TX carries a competitive annual salary of USD 150,000 and seeks candidates with 7+ years of relevant experience. You will empower plant operators, quality managers, and executives to make faster, better decisions by owning the reporting and insights infrastructure.
Benefits and culture
Join a rapidly growing B2B SaaS team that values collaboration, clear ownership, and practical outcomes. You will contribute to an office-first culture that supports high-bandwidth problem solving and cross-team alignment, while shaping the architecture, tooling, and data practices that power the entire product. The role sits at the core of the company’s vision to deliver impactful analytics across operations, quality, and leadership.
Responsibilities
- Architect and oversee analytics infrastructure across Microsoft Fabric and Snowflake, covering lakehouses, data warehouses, and semantic layers.
- Build reliable, well-modeled data pipelines supporting both operational reporting and exploratory analysis.
- Design and deliver dashboards and reports that provide clear, actionable visibility for plant operators and business leaders.
- Define data models, metrics, and KPIs in close collaboration with Product, Customer Success, and domain experts.
- Identify opportunities to apply AI and ML to analytics use cases, including predictive quality trends, anomaly detection, and LLM-assisted summarization.
- Establish standards for data quality, governance, and documentation that scale with the platform.
- Partner with engineering teams to ensure clean data contracts between operational systems and the analytics layer.
- Contribute to an office-first culture that emphasizes high-bandwidth collaboration and clear ownership.
Requirements
- 7+ years in analytics engineering, data engineering, or BI, with hands-on experience building production-grade reporting systems.
- Deep expertise with Microsoft Fabric (OneLake, Data Factory, Power BI integration) and/or Snowflake (warehousing, data sharing, performance tuning).
- Strong data modeling skills, including dimensional modeling, semantic layers, and metric frameworks.
- Experience building dashboards and reports for operational or enterprise users using Power BI, Tableau, or similar tools.
- Proficiency in SQL; Python for data transformation or analysis is a strong plus.
- Familiarity with dbt or similar transformation frameworks.
- Ability to design clean data contracts between source systems and analytics consumers.
- Experience with data governance, lineage tracking, and documentation practices.
- Systems thinking with a focus on outcomes, durability, and data trust; capable of delivering solutions with minimal hand-holding.
- Experience integrating predictive models into reporting workflows, such as flagging at-risk batches or forecasting yield.
- Using LLMs for natural language querying, automated insight generation, or data summarization.
- Working with ML pipelines to ensure clean feature data and interpretable outputs.
- User-centric mindset: prioritize making insights obvious and actionable for end users.
- Comfort with ambiguity and a track record of delivering working solutions promptly in a fast-paced environment.
- Enthusiasm for collaboration with peers who challenge one another and move quickly.
Technologies
- Microsoft Fabric
- OneLake
- Data Factory
- Power BI
- Snowflake
- SQL
- Python
- dbt
- Tableau
About SafetyChain
SafetyChain is building the next generation of enterprise software for the food and beverage supply chain, with analytics at the center of our vision. We serve a diverse client base including brands like Albertsons, Clif Bar, Tyson Foods, and Whole Foods. Our team thrives on innovation, agility, and rapid growth, delivering solutions that improve yield, productivity, and compliance across manufacturing operations.
