Forward Deployed Engineer

About the role

At Spaulding Ridge, we help global organizations achieve financial clarity through advanced data, analytics, and application solutions. Our mission is to assist businesses in transforming their strategies into actionable insights, thereby enhancing profitability, operational efficiency, and financial management.

Responsibilities

• Scoping, designing, implementing, and testing modern data, analytics, and application solutions for clients.
• Collaborating with client stakeholders and internal team members to align technology with business objectives.
• Leading end-to-end solution architecture across various systems and technologies.
• Building mock Proof of Concepts for Snowflake-backed reporting, analytics applications, data products, and integrations.
• Designing and building full stack applications using modern front-end and back-end technologies.
• Identifying and resolving issues in data architecture, reporting processes, integration patterns, and application design.
• Developing solutions by designing system specifications, architectural standards, data models, API patterns, reporting frameworks, and functional requirements.
• Designing and building scalable data pipelines, transformation layers, dimensional models, semantic layers, certified datasets, KPI frameworks, and analytics-ready reporting structures.
• Advising clients on the appropriate use of dashboards, semantic layers, data products, custom applications, embedded analytics, workflow tools, or operational reporting solutions.
• Mentoring junior resources through architecture reviews, code reviews, SQL/modeling reviews, technical coaching, and delivery mentorship.
• Supporting sales cycles by leading discovery workshops, scoping sessions, solution design discussions, oral presentations, and proof-of-concept builds for potential clients.
• Managing day-to-day client relationships, including expectations, risks, escalations, executive communication, and delivery outcomes.
• Leading a team of developers, data engineers, analysts, and subject matter experts across design, build, test, deployment, and enablement phases.

Qualifications

• Bachelor’s degree or higher, or a combination of relevant education and experience.
• Minimum 7+ years of professional consulting or relevant industry experience, including software engineering, data engineering, analytics engineering, solution architecture, enterprise data platform implementations, business transformation, and client-facing delivery.
• Strong hands-on experience with Snowflake architecture, SQL development, data modeling, data platform design, performance tuning, role-based access controls, and production implementation.
• Experience designing and implementing modern reporting and analytics solutions using tools like Power BI, Sigma, Tableau, Looker, Omni, or comparable BI platforms.
• Experience building semantic layers, governed metrics, certified datasets, KPI frameworks, and reusable reporting models.
• Strong full stack development background, including front-end development, back-end/API development, application architecture, authentication/authorization, logging, error handling, and deployment practices.
• Experience developing APIs and integrations using REST, JSON, OAuth, service authentication, and secure data access patterns.
• Experience with dbt or comparable transformation and analytics engineering frameworks.
• Experience with Python, JavaScript/TypeScript, SQL, and at least one modern back-end application framework.
• Experience with Git, CI/CD, code review practices, testing, environment management, and modern software delivery workflows.
• Experience designing and implementing data pipelines using ELT, ETL, iPaaS, orchestration, or cloud-native tooling.
• Strong understanding of data quality, reconciliation, lineage, observability, governance, privacy, and security practices.
• Strong understanding of IT standards and compliance topics such as COBIT, ITIL, SOX, GDPR, data privacy, access controls, and auditability.
• Outstanding analytical, communication, and interpersonal skills required.
• Project management experience is a plus, including maintaining a prioritized worklist, managing delivery risks, estimating effort, and understanding financial views of projects.
• Ability to manage projects and teams against planned work.
• Experience leading a team of developers, data engineers, analysts, and subject matter experts across design, build, test, deployment, and enablement phases.
• Experience with ERP, CRM, finance, operations, supply chain, healthcare, private equity, or enterprise reporting use cases is a plus.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Snowflake certification, including SnowPro Core, SnowPro Advanced Architect, or SnowPro Advanced Data Engineer, is strongly preferred.
• Good to have experience with Snowpark, Cortex, Streamlit, Native Apps, data sharing, Apache Iceberg, Microsoft Fabric interoperability, or AI/ML use cases on Snowflake.
• Good to have experience with application deployment, containerization, serverless patterns, DevOps, infrastructure as code, or cloud-native application hosting.
• Good to have experience with AI-assisted development, LLM-enabled analytics, RAG patterns, automated report narratives, or data application use cases.

Pay

The base salary range for this position in the United States across locations is $116,000 - $223,000 USD. Actual compensation will be determined based on a range of factors, including skills, experience, qualifications, and location.

Schedule

Travel as needed for client engagements, workshops, key stakeholder meetings, and internal team events.