Senior Data Engineer / Sales Engineering

Summary

Join DEPT® as a client-savvy Data Engineer specializing in Customer Data Platforms (CDPs). You will design and build data pipelines, shape solutions during client pitches, contribute to marketing technology roadmaps, and advise on scalable CDP implementations. This role blends technical skills with consultative strategy, pre-sales support, and cross-functional collaboration. You will work with various teams to define personalization use cases and CDP-enabled strategies, design and implement data solutions, and translate complex data architectures into business-focused presentations. The ideal candidate has 5+ years of experience in data engineering, including experience with CDPs and marketing data platforms. The position offers a competitive salary and benefits package, including healthcare, dental, vision, 401k, PTO, paid holidays, and parental leave. Remote work options are available in select US locations.

Requirements

• Expertise across multiple technical and functional domains in order to identify and execute optimal technical solutions in a variety of internal/client situations
• You understand design decisions and can articulate the tradeoffs made
• You are aware of industry trends and how they affect our work and introduce new ideas into our current workflow
• You offer advice and opinions for technical decisions that affect multiple clients/projects or the entire company
• You can communicate context, recommendations, and rationale to relevant internal and/or external stakeholders to drive towards buy-in
• You demonstrate the ability to take a step back and question/ensure that work proposed/being done is maximizing client value delivery
• You can synthesize input from various team members to drive to a solution
• You can serve as a strategic advisor in client discussions and solution design, including during sales pitches, workshops, and discovery phases
• You can collaborate with marketing, client engagement, and analytics teams to define personalization use cases and CDP-enabled strategies
• You can design and implement data solutions that enable cross-channel personalization and customer journey orchestration
• You can translate complex data architectures and CDP capabilities into business-focused presentations and proposals for technical and non-technical stakeholders
• You can act as a subject matter expert for integration with personlization tools like Salesforce Data Cloud, Segment, Adobe RT-CDP, or similar
• 5+ years of experience in several of the following
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or Datastage
• Devops tools like Terraform, Kubernetes, Docker
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, C++
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, mySQL, Oracle, MS SQL Server, Redshift, Databricks
• 5+ years of discovery and assessment of a client’s portfolio, tools, and applications
• Proven experience working directly with clients, sales teams, or in pre-sales engineering roles
• Strong storytelling and communication skills — able to present data concepts clearly to marketers, sales leads, and executives
• 3+ years of professional software and consulting experience
• Ability to take a project from RFP/SOW/BRD to delivery: project management, requirements gathering, data architecture, workflow management, quality assurance, reporting and visualization, presentation
• 2+ years of hands-on work with CDPs or marketing data platforms (e.g., Salesforce Data Cloud, Adobe Experience Platform, Twilio Segment)
• Experience developing data architectures that support customer identity resolution, audience segmentation, and activation
• Experience working in cloud environments (AWS or GCP)

Preferred Qualifications

• Interest in mentoring junior colleagues on process, analysis, deliverables, client communication, and management skills
• Experience with Unix-based OSes a plus!

Benefits

• Healthcare, Dental, and Vision coverage
• 401k plan, plus matching
• PTO
• Paid Company Holidays
• Parental Leave