Senior Data Platform / Analytics Engineering Focus

WebstaurantStore is hiring a Senior Data Platform Engineer to architect and own its enterprise data integration and ingestion platform. The role leads the development of scalable Snowflake ingestion pipelines, supports the transition from SQL Server to Snowflake, and provides technical leadership and mentorship to BI engineers.

Responsibilities:

• Lead the design, development, and implementation of a standardized cloud data ingestion framework into Snowflake
• Architect scalable, secure, and reusable ingestion patterns for diverse data sources, including APIs, databases, cloud storage, flat files, and SharePoint
• Build and maintain Fabric Pipelines to support enterprise-scale orchestration and workflow automation
• Develop Python-based ingestion utilities, automation scripts, and reusable components
• Establish best practices for ingestion performance, observability, resiliency, error handling, logging, and monitoring
• Analyze existing ingestion processes and drive modernization, consolidation, and data platform optimization initiatives
• Support and guide the organization through the transition from SQL Server to Snowflake
• Serve as the technical authority for data integration and ingestion architecture, providing direction, mentorship, and oversight to BI developers
• Delegate work effectively and coach team members on ingestion patterns, frameworks, and best practices
• Conduct code reviews, provide architectural guidance, and ensure adherence to data engineering standards and DevOps principles
• Collaborate with BI Managers to align resources, timelines, and priorities
• Promote a culture of knowledge sharing, continuous improvement, and engineering excellence
• Partner with analysts and business stakeholders to understand ingestion requirements and translate them into scalable cloud data solutions
• Lead the planning, design, and analysis of ingestion workflows and data engineering projects
• Evaluate new data sources and determine optimal ingestion strategies
• Contribute to long-term data platform roadmap and cloud architecture strategy
• Ensure solutions meet enterprise standards for data quality, governance, and security

Requirements:

• Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY)
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; or equivalent professional experience
• 7–10 years of professional experience in data engineering
• 5+ years of hands-on experience with Snowflake, including ingestion, transformation, optimization, and platform performance tuning
• 4–6 years of experience building data pipelines using Microsoft Fabric Pipelines or equivalent orchestration tools
• 4–6 years of professional Python experience focused on automation, ingestion utilities, and framework development
• 5+ years of enterprise SQL experience, including advanced SQL Server work and hands-on Change Data Capture (CDC) implementation and support
• 5+ years of experience working in Agile/Scrum environments
• 3+ years of experience leading data engineering initiatives or serving as a technical lead on ingestion projects
• Experience working with event-driven architecture, streaming ingestion, or data contract–based integration models
• Experience using Qlik Replicate for data movement and replication
• Experience using dbt Cloud for ELT transformation and orchestration
• Microsoft Azure experience
• Deep expertise in building and maintaining cloud-based data integration pipelines across diverse platforms
• Strong proficiency with Snowflake architecture, Snowflake ingestion patterns, and SQL
• Advanced Python skills for automation, ingestion utilities, and framework development
• Hands-on experience with Microsoft Fabric Pipelines or similar orchestration tools
• Strong understanding of data modeling, data warehousing, and ETL/ELT best practices
• Ability to lead technical initiatives, mentor team members, and influence engineering direction
• Strong analytical and problem-solving skills with the ability to design scalable solutions
• Excellent communication skills, capable of translating complex technical concepts for nontechnical audiences
• Ability to manage multiple priorities in a fast-paced environment
• High degree of adaptability, emotional intelligence, and collaborative mindset
• Customer-focused approach with a commitment to delivering high-quality solutions
• Certifications in dbt Cloud, Snowflake, or Microsoft Fabric preferred but not required
• Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks