Solutions Engineer
Why Join phData Solutions Engineering
At phData, the Solutions Engineering team is where ambitious builders meet consultative advisors to turn modern data ideas into measurable business value. You’ll shape strategy with executives, whiteboard with architects, and stay close through delivery to ensure outcomes land. Your impact shows up in customer wins, revenue growth, and real-world analytics and AI/ML outcomes.
What’s in it for you:
Work end-to-end across the modern data lifecycle—platforms, pipelines, governance, analytics, and AI—on cloud-native tech like Snowflake, AWS, and Azure.
Grow your career in multiple directions: principal technologist, sales engineering leader, or solutions strategy (SOW and value engineering).
Learn fast with funded certifications, peer architecture reviews, internal guilds, and conference speaking support.
Partner with high-performing Account Executives, Client Account Leads and Delivery teams who care about doing right by customers—and by you.
See your work in the wild: customer adoption, production launches, and expansion as a direct result of your solutions.
About the Solutions Engineering Team
The Solutions Engineering team is the connective tissue between vision and value. We partner with customers and cross-functional phData experts to design the right solution, tell the story clearly, and guide successful execution. We’re hands-on and consultative: we prototype, de-risk, and stay close post-sale to ensure customer success.
What You’ll Do
Own the technical sales process from introductory meetings (net-new sales) through post-sales (customer success and expansion)
Provide pre-sales proofs of concept or short paid engagements to de-risk decisions and accelerate value.
Clearly communicate phData’s Managed Services (MS), Data Engineering (DE), and Machine Learning Engineering (MLE) offerings to existing and prospective customers.
Ensure overall customer success across phData offerings and help establish and grow customer relationships.
Grow phData’s public presence at conferences, meetups, and speaking events.
Collaborate with the Account Executive and Delivery Owner on Statement of Work (SOW) deliverables.
Translate big-picture business requirements and use cases into complete data engineering solutions.
Scope activities for large, complex data solutions and manage post-sales support and escalations.
What You’ll Bring
5+ years as a Solutions Architect and/or Data Engineer, with experience architecting, building, and supporting modern data platforms
Prior technical presales experience with strong technical skills, business acumen, and a sales mindset.
Experience establishing and growing accounts, including building trusted relationships, cross-selling services, and developing business case proposals.
Proven experience with data migration in large enterprise production environments.
Expertise in core data engineering technologies such as Snowflake, AWS, or Azure
Strong working knowledge of SQL with the ability to write, debug, and optimize distributed SQL queries.
Experience defining solutions and scoping activities on large, complex data solutions.
Excellent communication skills with stakeholders and customers.
Able to travel 20–30% (typically 1–2 day trips as part of the sales process).
Preference for candidates residing in Pacific or Mountain time zones to align with team collaboration and business needs.
We offer:
Remote-First Work Environment
A casual, award-winning small-business work environment
A culture that prizes autonomy, creativity, and transparency
Competitive compensation, benefits, PTO, and perks
Solutions Engineer
Why Join phData Solutions Engineering
At phData, the Solutions Engineering team is where ambitious builders meet consultative advisors to turn modern data ideas into measurable business value. You’ll shape strategy with executives, whiteboard with architects, and stay close through delivery to ensure outcomes land. Your impact shows up in customer wins, revenue growth, and real-world analytics and AI/ML outcomes.
What’s in it for you:
Work end-to-end across the modern data lifecycle—platforms, pipelines, governance, analytics, and AI—on cloud-native tech like Snowflake, AWS, and Azure.
Grow your career in multiple directions: principal technologist, sales engineering leader, or solutions strategy (SOW and value engineering).
Learn fast with funded certifications, peer architecture reviews, internal guilds, and conference speaking support.
Partner with high-performing Account Executives, Client Account Leads and Delivery teams who care about doing right by customers—and by you.
See your work in the wild: customer adoption, production launches, and expansion as a direct result of your solutions.
About the Solutions Engineering Team
The Solutions Engineering team is the connective tissue between vision and value. We partner with customers and cross-functional phData experts to design the right solution, tell the story clearly, and guide successful execution. We’re hands-on and consultative: we prototype, de-risk, and stay close post-sale to ensure customer success.
What You’ll Do
Own the technical sales process from introductory meetings (net-new sales) through post-sales (customer success and expansion)
Provide pre-sales proofs of concept or short paid engagements to de-risk decisions and accelerate value.
Clearly communicate phData’s Managed Services (MS), Data Engineering (DE), and Machine Learning Engineering (MLE) offerings to existing and prospective customers.
Ensure overall customer success across phData offerings and help establish and grow customer relationships.
Grow phData’s public presence at conferences, meetups, and speaking events.
Collaborate with the Account Executive and Delivery Owner on Statement of Work (SOW) deliverables.
Translate big-picture business requirements and use cases into complete data engineering solutions.
Scope activities for large, complex data solutions and manage post-sales support and escalations.
What You’ll Bring
5+ years as a Solutions Architect and/or Data Engineer, with experience architecting, building, and supporting modern data platforms
Prior technical presales experience with strong technical skills, business acumen, and a sales mindset.
Experience establishing and growing accounts, including building trusted relationships, cross-selling services, and developing business case proposals.
Proven experience with data migration in large enterprise production environments.
Expertise in core data engineering technologies such as Snowflake, AWS, or Azure
Strong working knowledge of SQL with the ability to write, debug, and optimize distributed SQL queries.
Experience defining solutions and scoping activities on large, complex data solutions.
Excellent communication skills with stakeholders and customers.
Able to travel 20–30% (typically 1–2 day trips as part of the sales process).
Preference for candidates residing in Pacific or Mountain time zones to align with team collaboration and business needs.
We offer:
Remote-First Work Environment
A casual, award-winning small-business work environment
A culture that prizes autonomy, creativity, and transparency
Competitive compensation, benefits, PTO, and perks