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Principal Solutions Architect - Data Engineering
Remote (Bengaluru) · Executive · Remote
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Job 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, 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
Principal Solutions Architect
Data Engineering
Role Overview
We are looking for a Principal Solutions Architect to join our Data Engineering team. In this role, you will serve as a senior technical leader across strategic client accounts, partnering directly with clients to understand business objectives, shape Data & AI strategy, architect scalable solutions, and identify opportunities to expand the partnership. You'll combine deep technical expertise with strong consulting and commercial skills to solve complex technical challenges, influence executive stakeholders, and translate client priorities into new opportunities for phData. You won't simply design and deliver solutions—you'll help lead the account, build trusted executive relationships, create demand, and drive measurable client and revenue outcomes while embracing AI-first engineering practices.
Key Responsibilities
- Lead strategic discovery across client accounts to uncover business priorities, technical challenges, and emerging opportunities, translating them into scalable Data & AI architectures, roadmaps, and opportunities for expanded client engagement.
- Serve as a senior technical advisor and trusted partner to client executives and technical leaders, helping shape account strategy, strengthen relationships, and identify opportunities where phData can deliver additional value.
- Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while shaping solution strategy, scoping new opportunities, contributing to proposals and SOWs, and partnering with account and sales leaders to convert client needs into revenue-generating engagements.
- Lead and oversee the successful delivery of enterprise Data & AI solutions across strategic accounts, ensuring architectural quality and client outcomes while guiding engineering teams, proactively identifying technical and account risks, and creating a clear path from successful delivery to continued account growth.
- Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while helping clients identify and prioritize practical AI opportunities that can become broader transformation initiatives.
- Mentor architects and engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, technical enablement, and raising the technical and consulting capabilities of the broader organization.
About You
You are a senior client-facing technical leader who thinks beyond individual projects and takes ownership of the broader success and growth of an account. You enjoy solving complex data challenges, building trusted relationships with senior technical and business leaders, and identifying where technology can create measurable business value. You combine deep hands-on expertise in modern Data & AI platforms with strong consulting and commercial instincts. You are equally comfortable challenging an architecture, advising an executive, shaping an account strategy, developing a new solution opportunity, and partnering with sales and delivery leaders to turn client needs into successful engagements and long-term revenue growth.
Required Qualifications
Experience
- 10+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles, including experience operating as a senior technical leader across complex enterprise client accounts.
- Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments while owning technical strategy and outcomes across multiple projects, workstreams, or client initiatives.
- Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
- Strong consulting experience leading technical discovery, solution architecture, executive client engagements, and account growth, including identifying opportunities, shaping solutions, contributing to proposals and SOWs, and helping generate revenue within existing or new client relationships.
Technical / Functional Skills
- Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
- Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
- Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
- Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
- Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks.
- Contributions to technical communities through speaking, writing, open source, or internal enablement.
Why phData?
- Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
- Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
- Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
- Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
Benefits at phData
- Remote-First Workplace
- Medical Insurance for Self & Family
- Medical Insurance for Parents
- Term Life & Personal Accident
- Wellness Allowance
- Broadband Reimbursement
- Continuous learning and growth opportunities to enhance your skills and expertise
- Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content
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.
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