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About the Role

As a Data Solutions Architect, you will be responsible for scoping, designing, implementing, and testing modern data, analytics, and application solutions for clients. This role involves software engineering, Snowflake architecture, data engineering, BI/reporting, and client advisory. You will develop relationships with key stakeholders, build scalable data platforms, create intuitive reporting experiences, and develop data-driven applications to help clients move towards trusted, governed, and actionable analytics.

Responsibilities

Scoping, designing, implementing, and testing modern data, analytics, and application solutions.
Developing relationships with key business and technical stakeholders.
Building tangible business value through scalable data platforms, intuitive reporting experiences, and data-driven applications.
Helping clients transition from manual reporting, fragmented data sources, and disconnected systems to trusted, governed, and actionable analytics.
Engaging clients from proposal phase through architecture, delivery, enablement, and support.
Helping build and mentor a team of experts within the Data Solutions practice.
Collaborating with client stakeholders and internal team members to design and implement technology aligned with client business objectives.
Leading end-to-end solution architecture across source systems, integration layers, Snowflake, transformation logic, semantic/reporting layers, APIs, and user-facing applications.
Building mock Proofs of Concept for Snowflake-backed reporting, analytics applications, data products, and integrations.
Identifying issues and structural problems across data architecture, reporting processes, integration patterns, and application design, and generating actionable recommendations.
Demonstrating a clear understanding of client business needs, goals, metrics, reporting requirements, and operating model constraints.
Developing solutions by designing system specifications, architectural standards, data models, API patterns, reporting frameworks, and functional requirements.
Leading Snowflake architecture decisions including database design, warehouse strategy, RBAC/security, ingestion patterns, performance tuning, cost optimization, data sharing, and environment management.
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.
Managing and developing talent of assigned 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.
Balancing hands-on development with solution architecture, delivery leadership, client advisory, and business value creation.
Managing day-to-day client relationships on projects, including expectations, risks, escalations, executive communication, and delivery outcomes.
Leading orals sessions, scoping workshops, architecture discussions, and POC solutions for potential clients.
Leading a team of developers, data engineers, analysts, and subject matter experts across design, build, test, deployment, and enablement phases.
Participating in SR’s day of service, giving back to the global community.

Requirements

Ability to collaborate with client stakeholders and internal team members to design and implement technology that aligns with client business objectives.
Ability to lead end-to-end solution architecture across source systems, integration layers, Snowflake, transformation logic, semantic/reporting layers, APIs, and user-facing applications.
Ability to build mock Proofs of Concept for Snowflake-backed reporting, analytics applications, data products, and integrations across cloud-based and on-premise business systems.
Ability to 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.
Ability to demonstrate a clear understanding of client business needs, goals, metrics, reporting requirements, and operating model constraints.
Ability to develop solutions by designing system specifications, architectural standards, data models, API patterns, reporting frameworks, and functional requirements.
Ability to lead Snowflake architecture decisions including database design, warehouse strategy, RBAC/security, ingestion patterns, performance tuning, cost optimization, data sharing, and environment management.
Ability to design and build scalable data pipelines, transformation layers, dimensional models, semantic layers, certified datasets, KPI frameworks, and analytics-ready reporting structures.
Ability to advise clients on when to use dashboards, semantic layers, data products, custom applications, embedded analytics, workflow tools, or operational reporting solutions.
Ability to manage and develop talent of assigned junior resources through architecture reviews, code reviews, SQL/modeling reviews, technical coaching, and delivery mentorship.
Ability to support sales cycles by leading discovery workshops, scoping sessions, solution design discussions, oral presentations, and proof-of-concept builds for potential clients.
Ability to balance hands-on development with solution architecture, delivery leadership, client advisory, and business value creation.
Responsible for managing 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.
Experience leading a team of developers, data engineers, analysts, and subject matter experts across design, build, test, deployment, and enablement phases.
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.
Good to have experience building 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.

Skills

Snowflake architecture
Data engineering
BI/reporting
Client advisory
Software engineering
Scalable data platforms
Intuitive reporting experiences
Data-driven applications
Modern data technologies
Snowflake
dbt
Fivetran
Boomi
MuleSoft
Workato
Matillion
Airflow
Sigma
Power BI
Tableau
Looker
Omni
SQL development
Data modeling
Data platform design
Performance tuning
Role-based access controls
Production implementation
Semantic layers
Governed metrics
Certified datasets
KPI frameworks
Reusable reporting models
Full stack development
Front-end development
Back-end/API development
Application architecture
Authentication/authorization
Logging
Error handling
Deployment practices
API development
Integrations
REST
JSON
OAuth
Service authentication
Secure data access patterns
Analytics engineering frameworks
Python
JavaScript/TypeScript
SQL
Modern back-end application framework
Git
CI/CD
Code review practices
Testing
Environment management
Modern software delivery workflows
Data pipelines
ELT
ETL
iPaaS
Orchestration
Cloud-native tooling
Data quality
Reconciliation
Lineage
Observability
Governance
Privacy
Security practices
IT standards
Compliance
COBIT
ITIL
SOX
GDPR
Data privacy
Access controls
Auditability
Analytical skills
Communication skills
Interpersonal skills
Project management
ERP use cases
CRM use cases
Finance use cases
Operations use cases
Supply chain use cases
Healthcare use cases
Private equity use cases
Enterprise reporting use cases
Cloud platforms
AWS
Azure
GCP
Snowflake certification
SnowPro Core
SnowPro Advanced Architect
SnowPro Advanced Data Engineer
Snowpark
Cortex
Streamlit
Native Apps
Data sharing
Apache Iceberg
Microsoft Fabric interoperability
AI/ML use cases on Snowflake
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
Full stack application development
Modern front-end technologies
Modern back-end technologies
React
Next.js
Node.js
FastAPI
Flask
.NET
Java

Work Type

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

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.

About the Company

Spaulding Ridge is an advisory and IT implementation firm that helps global organizations gain financial clarity into complex 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, business partners, team, and the global community.
We deliver best-in-cloud advisory and IT services.
We believe giving back is core to our values.

Equal Opportunity

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.