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, Azure, GCP, Fivetran, Pinecone, 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 Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions, maximize platform ROI, and advance phData’s delivery excellence.
Key Responsibilities
Client Delivery
- Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.
- Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms (e.g., Redshift, Azure Data Warehouse), integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.
- Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.
Collaboration & Leadership
- Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.