Solutions Architect (Managed Services)
phData
| Company | phData |
| Category | Engineering |
| Location | India - Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 21 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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
Overview
We are seeking qualified Solutions Architects to help deliver our Elastic Operations service from our Managed Services team in Bangalore, India, as we continue our rapid growth with an expansion of our Indian subsidiary, phData Solutions Private Limited. This expansion comes at the right time with increasing customer demand for data and platform solutions. This is a senior-level hands-on technical subject matter expert position. Hence, only experienced candidates with a deep passion for understanding and designing complex data solutions must apply.
As a Solutions Architect on our Managed Services team, you will be responsible for delivering large-scale, complex data platform and infrastructure projects running on Snowflake and other native cloud platform services in AWS and Azure. In addition, you will need the ability to learn and quickly upskill on data ecosystem technologies related to data ingestion, data migration, platform design, and architecture, with some exposure to data visualization.
Responsibilities:
Propose, design, and provision cloud-native data solutions on AWS/Azure. Leverage a deep understanding of Snowflake, IAM, S3, EC2, Kinesis, Sagemaker, Airflow, Kafka, Azure Data Factory, ADLS, Fivetran, DBT, and/or other services and tools in designing and enhancing these solutions.
Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader.
Skillfully navigate complex customer environments and build Epics, Stories, and Tasks to mature and improve our customer’s data platform. Delegate to and coach Engineers and ensure the successful and timely delivery of these Epics.
Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction.
Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes.
Continually hunt for ways to automate, optimize, and expand our customer’s data platform and service offering.
Required Experience:
Production support of enterprise data platforms such as Snowflake, AWS, Azure, or Databricks.
Extensive experience in providing architectural guidance and operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift) with a background in Systems Engineering, DevOps, DBA or Data Architect
Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, ElasticSearch/Solr, Cass
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