Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
- Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
- AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
- 2025 Fivetran Partner of the Year (4th consecutive year)
- 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
- 2026 KNIME Customer Excellence Partner of the Year
- Preferred Partner in the Anthropic Claude Partner Network
- #1 Partner in Snowflake Advanced Certifications
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
- Recognized as an award-winning workplace in the US, India and LATAM
Role Overview
We are looking for a Senior Data Engineer to join our Data Engineering team. In this role, you will partner with clients and technical teams to understand requirements, build scalable Data & AI solutions, and deliver high-quality engineering work from development through production deployment. You'll combine strong hands-on technical expertise with consulting skills to solve complex data challenges, contribute to technical design decisions, and collaborate effectively with client stakeholders. You won't simply write code—you'll help build production-ready solutions, contribute to successful client delivery, and embrace AI-first engineering practices that improve speed, quality, and client outcomes.
Key Responsibilities
- Participate in discovery sessions to understand business goals, technical requirements, and solution constraints, while translating client needs into scalable, production-ready Data & AI solutions.
- Serve as a senior technical contributor throughout client engagements.
- Contribute to recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing technical documentation, implementation plans, data models, and engineering standards.
- Build and deliver enterprise Data & AI solutions from development through production deployment, owning complex engineering workstreams while proactively identifying technical risks, troubleshooting issues, and removing implementation blockers.
- Leverage AI throughout the software deliv
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