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About the Role

As a Forward Deployed Engineer, you’ll be responsible for scoping, designing, implementing, and testing modern data, analytics, and application solutions for clients. This role sits at the intersection of software engineering, Snowflake architecture, data engineering, BI/reporting, and client advisory. You will develop relationships with key business and technical stakeholders while building tangible business value through scalable data platforms, intuitive reporting experiences, and data-driven applications. You will help clients move away from manual reporting, fragmented data sources, and disconnected systems toward trusted, governed, and actionable analytics. As a growing firm, you will be given the opportunity to engage clients from the proposal phase through architecture, delivery, enablement, and support, while helping build and mentor a team of experts within our Data Solutions practice.

Responsibilities

Collaborate with client stakeholders and internal team members to design and implement technology that aligns with client business objectives.
Lead end-to-end solution architecture across source systems, integration layers, Snowflake, transformation logic, semantic/reporting layers, APIs, and user-facing applications.
Build mock Proofs of Concept for Snowflake-backed reporting, analytics applications, data products, and integrations across cloud-based and on-premise business systems.
Work with modern data technologies such as Snowflake, dbt, Fivetran, Boomi, MuleSoft, Workato, Matillion, Airflow, Sigma, Power BI, Tableau, Looker, Omni, and other key offerings.
Design and build full stack applications using modern front-end and back-end technologies, including JavaScript/TypeScript, React, Next.js, Node.js, Python, FastAPI, Flask, .NET, Java, or comparable frameworks.
Identify issues and structural problems across data architecture, reporting processes, integration patterns, and application design, then generate actionable recommendations using standard methodologies that you may be required to develop.
Demonstrate a clear understanding of client business needs, goals, metrics, reporting requirements, and operating model constraints.
Develop solutions by designing system specifications, architectural standards, data models, API patterns, reporting frameworks, and functional requirements.
Lead Snowflake architecture decisions including database design, warehouse strategy, RBAC/security, ingestion patterns, performance tuning, cost optimization, data sharing, and environment management.
Design and build scalable data pipelines, transformation layers, dimensional models, semantic layers, certified datasets, KPI frameworks, and analytics-ready reporting structures.
Advise clients on when to use dashboards, semantic layers, data products, custom applications, embedded analytics, workflow tools, or operational reporting solutions.
Manage and develop talent of assigned junior resources through architecture reviews, code reviews, SQL/modeling reviews, technical coaching, and delivery mentorship.
Support sales cycles by leading discovery workshops, scoping sessions, solution design discussions, oral presentations, and proof-of-concept builds for potential clients.
Balance hands-on development with solution architecture, delivery leadership, client advisory, and business value creation.
Manage day-to-day client relationships on projects, including expectations, risks, escalations, executive communication, and delivery outcomes.
Support sales cycles by leading orals sessions, scoping workshops, architecture discussions, and POC solutions for potential clients.
Lead a team of developers, data engineers, analysts, and subject matter experts across design, build, test, deployment, and enablement phases.

Requirements

Bachelor’s degree or higher, or a combination of relevant education and experience.
Minimum 7+ years of professional consulting or relevant industry experience, which may include 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 such as 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 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.

Skills

Snowflake architecture
SQL development
Data modeling
Data platform design
Performance tuning
Role-based access controls
Production implementation
Power BI
Sigma
Tableau
Looker
Omni
Semantic layers
Governed metrics
Certified datasets
KPI frameworks
Reusable reporting models
Front-end development
Back-end/API development
Application architecture
Authentication/authorization
Logging
Error handling
Deployment practices
API development
Integration development
REST
JSON
OAuth
Service authentication
Secure data access patterns
dbt
Python
JavaScript/TypeScript
SQL
Modern back-end application frameworks
Git
CI/CD
Code review practices
Testing
Environment management
Modern software delivery workflows
Data pipeline design
ELT
ETL
iPaaS
Orchestration
Cloud-native tooling
Data quality
Reconciliation
Lineage
Observability
Governance
Privacy
Security practices
COBIT
ITIL
SOX
GDPR
Data privacy
Access controls
Auditability
Analytical skills
Communication skills
Interpersonal skills
Project management
ERP
CRM
Finance
Operations
Supply chain
Healthcare
Private equity
Enterprise reporting
AWS
Azure
GCP
Snowpark
Cortex
Streamlit
Native Apps
Data sharing
Apache Iceberg
Microsoft Fabric interoperability
AI/ML
Application deployment
Containerization
Serverless patterns
DevOps
Infrastructure as code
Cloud-native application hosting
AI-assisted development
LLM-enabled analytics
RAG patterns
Automated report narratives
Data application use cases

Location

United States

Work Type

Travel as needed

Experience Level

Minimum 7+ years of professional consulting or relevant industry experience
Manager-level leader

Education Level

Bachelor’s degree or higher, or a combination of relevant education and experience.

Salary/Compensations

$116,000—$223,000 USD

Benefits

Generous time off
Paid holidays
Paid parental leave
401(k) with company match
Highly subsidized health, dental, and vision plans
Company-paid life and disability insurance
Monthly allowance for well-being and technology expenses
Reimbursement for approved learning and development initiatives

About the Company

Spaulding Ridge is an advisory and IT implementation firm that helps global organizations get financial clarity into complex, daily sales, and operational decisions impacting profitable revenue generation, efficient operational performance, and reliable financial management.
Core to our values are our relationships with our clients, our business partners, our team, and the global community.
Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Spaulding Ridge offers executive-level, practical advice to scale your business.
We deliver best-in-cloud advisory and IT services.
We believe giving back is core to our values, so as a manager-level leader you will be given the opportunity to participate in SR’s day of service, giving back to the global community.
Spaulding Ridge is committed to helping team members thrive in their work and life, and we invest in comprehensive total rewards to support this goal.
Spaulding Ridge is committed to fair and equitable compensation practices.

Equal Opportunity

Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are.
We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.