Principal Solution Architect - Managed Services
No salary listed
Expert
Bachelor's
Bengaluru, Karnataka, India
RemoteRemote-first role based in Bengaluru, India; works primarily on IST with expected US time-zone overlap.
DevOps & InfrastructureCloud Engineering
About the job
Requirements
- At least 10 years of experience in data platform engineering, architecture, or managed services, including significant hands-on experience in enterprise cloud environments.
- Advanced expertise in enterprise cloud data platforms, including Snowflake, AWS, Azure, and/or Databricks.
- Extensive experience providing architectural and operational guidance for cloud-native data warehouses such as Snowflake and/or Redshift across large user bases.
- Production experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL storage systems.
- Production experience with data integration technologies such as Spark, Kafka, event and streaming pipelines, Matillion, Fivetran, HVR, AWS Data Migration Services, Azure Data Factory, or equivalent.
- Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, or Luigi.
- Strong proficiency in SQL, including writing, debugging, and optimizing complex queries.
- Extensive experience with infrastructure as code using Terraform or CloudFormation.
- Experience building automated solutions for repetitive administrative tasks using Python or a similar language.
- Proficiency with continuous integration and continuous delivery frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase.
- Strong troubleshooting and performance tuning skills across complex, multi-stack environments.
- Demonstrated experience delivering projects for external clients in a professional services or consulting environment.
- Ability to break down complex, multifaceted problems into structured, actionable steps and drive them to resolution across technical, business, and operational dimensions.
- Strong written and verbal communication skills in English, including the ability to create and deliver detailed technical presentations for executive audiences.
- Proven experience as a technical team lead and mentor, with a track record of delegating effectively and developing engineering talent.
- Demonstrated ability to work effectively across distributed, cross-functional global teams.
- Proven track record of taking ownership of multiple priorities simultaneously and delivering high-quality outcomes with minimal supervision.
- Professional track record of creating, challenging, and improving processes and procedures in dynamic environments.
Responsibilities
- Own and drive the design, provisioning, and operationalization of cloud-native data solutions on AWS and Azure, leveraging Snowflake, Fivetran, dbt, Matillion, Azure Data Factory, and other modern data stack technologies.
- Translate client business requirements into scalable, secure, and performant data platform architectures aligned with phData methodologies and best practices.
- Ensure client engagements are delivered on time, within scope, and with measurable business value while managing multiple simultaneous customer accounts across varied technical stacks.
- Build and prioritize epics, stories, and tasks to mature and improve clients’ data platforms.
- Identify opportunities to automate, optimize, and expand clients’ data platform capabilities and phData’s service offering.
- Lead technical teams operating and managing modern data platforms spanning streaming, data lakes, analytics, and other areas across an evolving technical stack.
- Provide technical thought leadership during client workshops, architecture reviews, and discovery sessions, recommending technologies and approaches to ensure performance, security, scalability, and user satisfaction.
- Ensure high quality in deliverables through code reviews, documentation, governance, and performance tuning.
- Partner with practice and account leaders to identify opportunities to expand engagements and standardize delivery patterns.
- Contribute to internal initiatives, including intellectual property development, accelerators, delivery frameworks, and technical playbooks.
- Represent phData in client interactions, communicating with technical and non-technical stakeholders, including executive audiences.
- Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives.
- Mentor and coach engineers on the team, delegate effectively, and foster learning, feedback, and continuous improvement.
- Help define and refine practice standards, reusable assets, and delivery frameworks to scale phData’s managed services capability.
- Lead detailed technical presentations and architecture recommendations for executive-level audiences.
Desired Qualifications
- Snowflake SnowPro Core Certification or any Snowflake Advanced Certification.
- Hands-on experience with data visualization tools and exposure to data science or machine learning platform operations.
- Experience operating across multiple industry verticals or problem domains in a managed services or platform operations context.
- Prior experience working in global or remote teams, partnering across US, LATAM, and/or India time zones.
- Contributions to open source communities, technical writing, conference speaking, or internal accelerators.
About the company
phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It helps automate data infrastructure, migrate to cloud environments, build data lakes, create business intelligence, and develop ML applications, delivered through project work and ongoing support. As an AWS consulting partner, it offers specialized analytics and ML expertise on AWS to handle complex initiatives, differentiating it from firms that only advise or implement technology. Its goal is to turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps and reliable managed services.
Company Size
501-1,000
Company Stage
Seed
Total Funding
$2.5M
Headquarters
Minneapolis, Minnesota
Founded
2014
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Simplify's Take
What believers are saying
- Snowflake named phData 2026 AI Partner of the Year in June 2026.
- phData says Forge is already live across all practices, lifting delivery velocity.
- August 2026 Snowflake partnership expansion targets governed AI, analytics modernization, and operational BI.
What critics are saying
- Gryphon’s 2024 majority recapitalization pressures margins and exit timing within 3-5 years.
- Forge automates consulting artifacts, shrinking billable hours and enabling lower-cost rivals by 2027.
- Snowflake or AWS can internalize phData’s workstreams, turning phData into a replaceable subcontractor.
What makes phData unique
- Seven straight Snowflake partner awards show deep platform specialization and repeatable delivery.
- phData Forge turns proprietary agents and human validation into faster AI project delivery.
- 2026 AWS collaboration and Snowflake CoCo work anchor phData inside hyperscaler ecosystems.
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Benefits
- Remote Work Options
- 4 weeks PTO
- Holiday
- Health Insurance
- Wellness Program