Data Solutions Architect

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.

At Spaulding Ridge, we believe all business is personal. Core to our values is 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.

As a Data Solutions Architect , you will lead the strategy, architecture and delivery of enterprise-scale data and analytics solutions for our clients. Working across data architecture, software engineering, cloud platforms, analytics engineering and client advisory, you will translate business priorities into secure, scalable, well-governed and cost-effective solutions.

You will partner with executive stakeholders, business leaders and technical teams to define data roadmaps and target-state architectures, evaluate technology options and guide delivery from proposal and estimation through to implementation, enablement and support. You will help clients modernise fragmented data environments and establish trusted data products, intuitive analytics experiences and reusable engineering capabilities that deliver measurable business value.

This role also provides technical leadership across multiple projects and teams. You will mentor engineers, facilitate architecture reviews and technical workshops, establish standards and best practices, and act as a trusted adviser who can challenge assumptions, identify opportunities and influence strategic decisions.

• Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems.
• Architect cloud-native data platforms-particularly Snowflake-covering performance, workload management, security, access controls, cost governance, multi-environment deployment, data sharing, replication and disaster recovery.
• Define scalable batch, real-time, event-driven, API, orchestration and ELT/ETL integration patterns using modern data integration technologies.
• Establish standards for analytics engineering, dbt, the modern data stack, Data Ops, testing, documentation, CI/CD, Infrastructure as Code, observability and automated deployment.
• Embed metadata, lineage, privacy, security, regulatory compliance, monitoring and data quality controls into platform and data product designs.
• Lead technical work streams, mentor engineers, prepare estimates and technical proposals, and deliver client presentations, executive briefings, architecture reviews and workshops.

Travel may be required for client engagements, workshops, key stakeholder meetings and internal team events.

• 6+ years' experience in data and analytics, including the design and delivery of enterprise-scale data platforms and analytics solutions.
• Proven success in leading technical work streams, mentoring engineers and driving architectural decisions across multiple projects and teams.
• Ability to align architecture with business strategy, define data roadmaps with executive and cross-functional stakeholders, and translate requirements into scalable solutions.
• Experience in pre-sales, solution estimation, technical proposal development and client-facing presentations.

• Deep expertise in modern data architectures, including data warehouses, data lakes, lakehouse platforms and analytics ecosystems.
• Extensive experience in enterprise and dimensional data modelling, semantic layers, master data strategies and data governance frameworks.
• Strong understanding of data product thinking and the creation of scalable, reusable and business-oriented models, standards and development frameworks.

• Advanced experience in designing and operating cloud-native data platforms, particularly Snowflake, including performance and workload management, security and access controls, cost governance and Fin Ops, multi-environment deployments, data sharing, replication and disaster recovery.
• Strong knowledge of Azure and/or Google Cloud Platform services across data, storage, networking, security and monitoring.
• Experience with Big Query, Databricks, Synapse, Redshift or similar…