Join to apply for the Senior Data Engineer/Data Architect role at Spaulding Ridge.
Spaulding Ridge is an advisory and IT implementation firm. We help global organizations gain financial clarity into complex, daily sales, and operational decisions that impact profitable revenue, operational efficiency, and financial management.
At Spaulding Ridge, we value relationships with clients, partners, our team, and the community. Our employees dedicate themselves to transforming our clients' businesses from strategy through implementation and transformation.
What You Will Do and Learn
As a Data Architect/Manager in Data Solutions, you will design, implement, and test modern analytic solutions. You’ll work closely with clients and architects, develop relationships with technical resources, and deliver tangible business outcomes.
- Manage the data engineering lifecycle: research, proof of concepts, architecture, design, development, testing, deployment, and maintenance.
- Collaborate with team members to design and implement technology aligned with client goals.
- Build proof of concepts for modern analytics stacks supporting cloud-based business systems.
- Manage, mentor, and develop junior resources.
- Create actionable recommendations based on platform, structural, or logic issues.
- Understand and communicate client needs, goals, and objectives.
- Collaborate with other architects on solution designs and recommendations.
Qualifications
- 8+ years in business intelligence and analytics solutions.
- Thorough knowledge of data warehouse concepts and dimensional modeling.
- Experience in advanced SQL and hands-on experience with DBT (Data Build Tool), especially recent projects.
- Experience with modern databases like Snowflake, Redshift, BigQuery, Databricks, etc., with preference for Snowflake expertise and certification.
- Experience with cloud platforms (AWS, Azure, GCP), especially Azure.
- Proficiency in setting up and managing DBT projects, environments, jobs, and macros.
- Experience with data pipeline architecture using DBT and version control systems.
- Knowledge of visualization tools like Tableau, PowerBI, Looker is a plus.
- 2+ years of Business Data Analyst experience, including writing requirements and use cases.
- Experience with ETL/ELT, SDLC, relational databases, and testing.
- Strong communication, analytical, and project management skills.
Our Commitment to Diversity and Inclusion
We believe in a diverse workforce that reflects society. We foster a culture of trust, belonging, and inclusion through policies, ERGs, and accommodations for applicants with disabilities.
Qualified applicants will be considered regardless of age, race, religion, gender, sexual orientation, veteran status, or disability.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Business Consulting and Services
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