• Builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. • Builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. • Develops technical tools and programming to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. • Adheres to design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. • Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. • Facilitates technical requirements gathering, ensuring quality and consistency of our data architecture across our systems. • Foster innovation by designing and building solutions that solve business problems and by partnering with cross functional stakeholders and at senior levels. • Develop secure and high-quality production code. Review / debugs code written by others. • Actively oversee live operations of our SaaS offering, monitoring KPI’s to find opportunities and threats. • Develop features, understand customer requirements, and meet business goals. • Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance. • Implement multi-tenant systems, with focus on isolation and security. • Contribute solutions for challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more! • Work cross functionally with a team of Implementation Managers, BAs, Engineers, BI Developers and Quality Engineers. • Stay up-to-date with the latest technologies and industry trends, leveraging them to drive platform innovation.

• Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. • Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. • Develops technical tools and programming to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. • Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. • Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. • Lead the technical requirements gathering, ensuring quality and consistency of our data architecture across our systems. • Foster innovation by designing and building solutions that solve business problems and by partnering with cross functional stakeholders and at senior levels. • Develop secure and high-quality production code. Review / debugs code written by others. • Actively oversee live operations of our SaaS offering, monitoring KPI’s to find opportunities and threats. • Design and develop features, understand customer requirements, and meet business goals. • Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance. • Implement multi-tenant systems, with focus on isolation and security. • Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more! • Organize work around a cross-functional team of Implementation Managers, BAs, Engineers, BI Developers and Quality Engineers. • Stay up-to-date with the latest technologies and industry trends, leveraging them to drive platform innovation.

• Develop software solutions using object-oriented programming languages and frameworks • Collaborate with team members to ensure the timely and accurate completion of projects • Analyze and troubleshoot technical issues • Assist with the implementation of software solutions • Create technical documentation • Participate in code reviews and provide feedback

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Data and Analytics Engineer will own the transformation and semantic layer of the company’s enterprise data platform. This role is responsible for designing, building, and maintaining scalable dimensional models and curated datasets within Snowflake that power financial and operational reporting across all operating companies. This is a hands-on engineering role for someone who lives in SQL and dbt, thinks deeply about data grain and business logic, and takes pride in building clean, reliable reporting infrastructure. The role translates business requirements into well-structured data models and ensures that enterprise metrics are accurate, documented, and trusted. Key Responsibilities - Design and maintain scalable fact and dimension models, define grain, and implement enterprise metric logic using SQL and dbt within Snowflake. - Develop, test, and optimize transformation workflows to ensure clean, reliable, and performant datasets that support financial and operational reporting. - Partner with Finance and Operations to translate business requirements into technical models, ensuring metric definitions are accurate and consistently applied. - Establish validation checks and reconciliation processes to ensure reporting outputs tie to source systems and financial statements. - Publish curated datasets and support dashboards in Sigma or Power BI, enabling self-service analytics while maintaining governance standards. - Work closely with internal or external data engineering resources to define schema expectations, monitor ingestion quality, and resolve upstream data issues. Qualifications - 4+ years of experience in analytics engineering, data engineering, or business intelligence engineering roles - Advanced SQL skills with daily hands-on experience building complex transformations - Strong experience with dbt and modern ELT workflows - Deep understanding of dimensional modeling (fact/dimension design, grain definition, star schemas) - Experience working in Snowflake or similar cloud data warehouse environments - Experience building reporting infrastructure (not primarily ML/data science focused) - Strong understanding of financial and operational reporting concepts - Experience in high-growth, multi-entity, or PE-backed environments preferred Requirements - Writes clean, efficient SQL and builds well-structured, scalable models - Understands data grain, relationships, and how business logic translates into dimensional architecture - Proactively validates outputs and ensures reporting accuracy - Converts operational and financial requirements into precise, reusable technical logic - Takes responsibility for the reliability and integrity of the semantic layer Benefits - Competitive compensation commensurate with experience - Comprehensive benefits package including healthcare - 401(k) match - Flexible time off