Sr. Analytics Engineer (Snowflake, MS Fabric)

SafetyChain is building the next generation of enterprise software for the food and beverage supply chain, with the analytics layer at the core. We are seeking a Senior Analytics Engineer to own the reporting and insights infrastructure across data engineering, BI, and applied AI to enable plant operators, quality managers, and executives to make faster, better decisions. This role sits at the intersection of data engineering, BI, and applied AI, and you will define what great analytics looks like at SafetyChain. This position is hybrid in Grapevine, TX, with a salary of USD 150,000 per year. Technologies you will work with include Microsoft Fabric, OneLake, Data Factory, Power BI, Snowflake, SQL, Python, dbt, and Tableau.

Benefits and culture

Join a rapidly scaling B2B SaaS provider that is reshaping plant management for food and beverage manufacturers. The analytics layer is foundational to improving yield, productivity, and compliance, and your work will influence architecture, tooling, and the data culture of the product. You will have a rare opportunity to build something substantial in a domain that matters, free from heavy legacy constraints. The team values collaboration, clarity of ownership, and high-bandwidth problem solving, with an office-first approach when collaboration matters.

Responsibilities

• Architecting and managing analytics infrastructure across Microsoft Fabric and Snowflake, including lakehouses, warehouses, and semantic layers.
• Building reliable, well-modeled data pipelines that serve both operational reporting and exploratory analysis.
• Designing and delivering dashboards and reports that give plant operators and business leaders clear, actionable visibility into their operations.
• Defining data models, metrics, and KPIs in close partnership with Product, Customer Success, and domain experts.
• Identifying opportunities to apply AI and ML to analytics use cases—predictive quality trends, anomaly detection, LLM-assisted data summarization, and more.
• Establishing standards for data quality, governance, and documentation that scale as the platform grows.
• Partnering with engineering teams to ensure clean data contracts between operational systems and the analytics layer.
• Contributing to an "office-first when collaboration matters" culture that values high-bandwidth problem solving 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—dimensional modeling, semantic layers, and metric frameworks.
• Experience building dashboards and reports for operational or enterprise users using Power BI, Tableau, or similar.
• Proficiency in SQL; experience with 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.
• You don't need to be a specialist in every tool in the stack—but you must be the kind of engineer who thinks in systems, communicates in outcomes, and builds things that last.
• Integrating predictive models into reporting workflows (e.g. flagging at-risk batches, 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.
• You design for the end user, not the data model—insights should be obvious, not excavated.
• You default to outcome-based decisions over theoretical purity.
• You care about data trust: if users don't believe the numbers, the dashboard doesn't matter.
• You're comfortable with ambiguity and can move from "we need visibility into X" to a working solution without hand-holding.
• You're energized by a team of peers who challenge each other and move fast.