Solution Architect

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 customers 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 customers 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, Cassandra or other NoSQL storage systems.

- Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Fivetran, HVR, NiFi, AWS Data Migration Services, Azure DataFactory or others.

- Production experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi.

- Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries.

- Deep expertise with cloud-native data technologies in AWS or Azure.

- Professional track record of creating, challenging, and improving processes and procedures.

- Unmatched troubleshooting and performance tuning skills.

- Provide team lead and mentorship of engineers.

- Passion for learning new technology stacks and experience as a technical and up-skill/training team member.

- Create and deliver detailed technical presentations for an executive audience.

- Excellent client-facing written and verbal communication skills and experience.

Preferred Experience :

- Extensive experience with infrastructure as code using Terraform or Cloud Formation.

- Proven expertise using Python to build automated solutions for repetitive support tasks.

- Well-versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, and Liquibase.

- Snowflake SnowPro Core certification.

- Bachelor's degree in Computer Science or a related field.

Ideal opportunity if you enjoy :

- Seeing the big picture : You recognise that data challenges are multifaceted, and you understand the technical, business, operational, and human issues at play.

- Fast-paced operations work : You get energized by working across multiple projects and customers at once as requirements and situations evolve.

- Solving complex problems : Youre eager to take on big issues that have stumped some of the worlds biggest companies.

- Venturing boldly into uncharted territory : When facing a problem you havent seen before, you enjoy the challenge of navigating through rocky terrain to build an ideal solution.

- Working across technology stacks and organizational silos : Youve seen what happens when people get stuck in one platform, application, or way of thinking; you can integrate disparate functions and technologies to make your solutions work.

- Thinking on your feet : You dont get rattled by the unexpected; you quickly assess the situation and formulate a plan of action.

- Following up and following through : Not only can you envision the solution, but you can break it into actionable steps and keep pushing toward the final outcome, no matter what gets in the way.

- Managing the human side : Youve got the presence and poise to work confidently and respectfully with your teammates, your customers, and moreeven when its time for difficult conversations.

- Collaborating with others.

- Being yourself : You value an environment where its safe to ask questions, take calculated risks, and be authentic; you support your teammates and expect others to do the same.

Perks and Benefits :

- Medical Insurance for Self & Family.

- Medical Insurance for Parents.

- Term Life & Personal Accident.

- Wellness Allowance.

- Broadband Reimbursement.

- Professional Development Allowance.

- Reimbursement of Skill Upgrade Certifications.

- Certification Reimbursement.

phData celebrates diversity and is committed to creating an inclusive environment for all employees.

Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.

So, regardless of how your diversity expresses itself, you can find a home here at phData.

We are proud to be an equal opportunity employer.

We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.

If you would like to request an accommodation due to a disability, please contact us at People Operations.

Skills

Solution Architect, AWS, Azure, Snowflake DB, ADLS, Apache Airflow, Kafka, Azure Databricks, Data Integration, Native Cloud