Snowflake Senior Analyst

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.

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.

Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes.

Qualifications

• 2-4 years’ experience developing industry leading business intelligence and analytic solutions
• Must have thorough knowledge of data warehouse concepts and dimensional modelling
• Must have experience in writing advanced SQL
• Must have at least 2+ years of hands‑on experience on DBT (Data Build Tool). Mandatory to have most recent hands‑on experience on DBT.
• Must have experience working with DBT on one or more of the modern databases like Snowflake, Amazon Redshift, Big Query, Databricks, etc.
• Hands‑on experience with Snowflake would carry higher weightage
• Snowflake Snow Pro Core certification would carry higher weightage
• Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage
• Hands‑on experience on Azure would carry higher weightage
• Must have experience in setting up DBT projects
• Must have experience in understanding, creating, modifying and optimizing YML files within DBT
• Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations
• Must have experience with various materialization techniques within DBT
• Must have experience in writing and executing DBT test cases
• Must have experience in setting up DBT environments
• Must have experience in setting up DBT jobs
• Must have experience with writing DBT Jinja and macros
• Must have experience in creating DBT snapshots
• Must have experience in creating and managing incremental models using DBT
• Must have experience with DBT Docs
• Should have a good understanding of DBT seeds
• Must have experience with DBT deployment
• Must have experience with architecting data pipelines using DBT, utilizing advanced DBT features
• Proficiency in version control systems and CI/CD
• Must have hands‑on experience configuring DBT with one or more version control systems like Azure Dev Ops, Git Hub, Git Lab, etc.
• Must have experience in PR approval workflow
• Participate in code reviews and best practices for SQL and DBT development
• Experience working with visualization tools such as Tableau, Power BI, Looker and other similar analytic tools would be an added advantage
• 2+ years of business data analyst experience
• 2+ years of experience writing business requirements, use cases and/or user stories for data warehouse or data mart initiatives
• Understanding and experience on ETL/ELT is an added advantage
• 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
• 2+ years of experience with relational databases (Postgres, My SQL, SQL Server, Oracle, Teradata, etc.)
• 2+ years of experience creating functional test cases and supporting user acceptance testing
• 2+ years of experience in Agile/Kanban/Dev Ops delivery
• Outstanding analytical, communication, and interpersonal skills
• Ability to manage projects and teams against planned work
• Responsible for managing the day-to-day client relationship on projects
• 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
• Team management experience and ability to manage, mentor and develop talent of assigned junior resources
• 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 architects on solution designs and recommendations
• 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.

If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge. com).

Requests for reasonable accommodation will be considered on a case‑by‑case basis.

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.

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