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About the Role

As a Data Solutions Architect, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes.

Responsibilities

• Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
• Collaborate with team members to design and implement technology that aligns with client business objectives
• Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
• Create actionable recommendations based on identified platform, structural and/or logic problems
• Communicate and demonstrate a clear understanding of client business needs, goals, and objectives
• Collaborate with other practices on Solution Proposals, Pre-Sales Activities, Estimation, Scoping and Solutions
• Manage projects and teams against planned work
• Manage the day-to-day client relationship on projects
• Support sales cycles by leading orals sessions along with building POC solutions for clients

Requirements

• 5+ years’ experience developing industry -leading business intelligence and analytic solutions
• 5+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives
• 5+ years of SQL development including advanced analytic functions
• 3+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
• 4+ years of experience with relational databases (Postgres, SQL Server, Oracle, Snowflake, and Azure Synapse Analytics, etc.)
• 3+ years of experience creating functional test cases and supporting user acceptance testing
• 3+ years of experience in Agile/Kanban/DevOps Delivery
• Outstanding analytical, communication, and interpersonal skills
• Ability to travel

Skills

• ETL/ELT technologies such as Azure Data Factory, Fivetran, Snowflake OpenFlow, Apache NiFi
• Analytic technologies such as Power BI, Tableau, Sigma, Omni, Looker
• Cloud enabled data repositories such as Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform
• Team management experience and ability to manage, mentor and develop talent of assigned junior resources
• SnowPro certification
• Snowflake, AWS, Azure, GCP or similar cloud data platform development
• Modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes
• Data architecture, data modeling, statistics, data science and data infrastructure ecosystems

Experience Level

• 5+ years

About the Company

• Spaulding Ridge is an advisory and IT implementation firm that helps global organizations gain financial clarity into complex decisions impacting profitable revenue generation, operational performance, and financial management.
• Core values include strong relationships with clients, business partners, the team, and the global community.
• Employees dedicate their time to helping clients transform their business from strategy through implementation and business transformation.

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.
• Spaulding Ridge believes the team should reflect the rich diversity of society and cultivates a workplace where every bandmate feels accepted, respected, and valued.
• This is achieved through a culture of trust and belonging, inclusive practices and policies, and 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.