Solutions Engineer, Data Management

Redpoint Global Inc. · United States · $85k – $110k · posted today ago

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About this role

About Redpoint Global

Redpoint Global helps the world’s most ambitious brands deliver personalized, real-time customer experiences across every channel. We lead by a shared set of values: market-leading innovation, flawless execution, delighting customers, unwavering integrity, performance through people, and respect for the individual.

About the Role

We’re looking for a Solutions Engineer to join our Data Management team, reporting to the Director of Implementation Services. You’ll help implement the Redpoint Customer Engagement Hub (CEH) for our clients, focusing on the ETL, data hygiene, and identity resolution components that power our Redpoint Data Management (RPDM) product. This is a strong opportunity for an engineer early in their career who wants to grow into a subject matter expert across our Marketing/Campaign product suite.

What You'll Do

Deploy Redpoint software based on client-approved Business Requirements and Design documents
Build ETL processes to consume 1st- and 3rd-party data into the marketing data repository using Redpoint Data Management
Develop into a subject matter expert in Redpoint Interaction, our Marketing/Campaign orchestration product
Collaborate with development team members and project leadership to implement solutions that meet project standards, escalating issues and challenges as needed
Provide support, troubleshooting, and forensic assistance for client implementations, both Redpoint-hosted and client-hosted
Collaborate with development teams to identify new product features and functionality
Support recruiting of qualified personnel as needed

Requirements

What You'll Bring (2–5 years of experience)

2–5 years of experience in a solutions engineering, data engineering, or implementation role
Strong problem-solving skills and the ability to work effectively in a team environment
Strong client interaction and communication skills, both written and verbal
Experience building automations that consolidate disparate data sources into a single operational or OLAP environment
Working knowledge of relational database design and data manipulation concepts, including data hygiene and match/merge techniques supporting identity resolution and householding

• Demonstrated knowledge of SQL

Experience with ETL/ELT and 3rd-party data integration technologies (e.g., Azure Data Factory, Fivetran, Matillion, Alteryx, Informatica)

• Ability to travel as required

Nice to Have

Experience with Snowflake or other cloud data warehouse platforms
Familiarity with AI/ML-powered data tools or generative AI applications in a marketing or data context
Java and familiarity with web services technologies (SOAP, JSON)
Cloud-based hosting experience (Microsoft Azure, AWS)
Marketing Campaign Management or Customer Engagement/CRM experience, especially in retail
Tableau or other BI tool experience