Principal Solution Architect
phData
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Benefits offered by this job
Job summary
phData is seeking a Principal Solutions Architect to lead the design and delivery of cloud-native data platforms for global clients. In this senior role, you will collaborate closely with clients and engineering teams to translate complex business needs into actionable data solutions enhancing phData's managed services.
Ideal candidates will have over 15 years of experience in data engineering, extensive knowledge of platforms like Snowflake and AWS, and proven leadership skills. Benefits include medical insurance and opportunities for continuous growth and certifications.
Qualifications
- 15+ years of professional experience, including 8+ years in data engineering or managed services.
- Hands-on experience with cloud environments like AWS and Azure.
- Expertise with cloud-native data warehouse solutions.
Responsibilities
- Design and operationalize cloud-native data solutions.
- Translate business requirements to scalable data architectures.
- Provide technical guidance during client engagements.
Skills
Education
Tools
Job description
We are looking for a Principal Solutions Architect to join our Managed Services Elastic Platform Operations (EPO) team. In this role, you will serve as a hands‑on senior technical leader, owning the design, delivery, and continuous evolution of large-scale, cloud‑native data platforms for global enterprise clients. You will collaborate closely with clients, engineering teams, and practice leadership to translate complex business requirements into scalable, high‑performing data solutions while driving delivery excellence and advancing phData's managed services capabilities. Design, delivery, and continuous evolution of large‑scale, cloud‑native data.
- Own and drive the design, provisioning, and operationalization of cloud‑native data solutions on AWS and Azure, leveraging platforms such as 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.
- Manage multiple simultaneous customer accounts across a variety of technical stacks.
- Skillfully navigate complex customer environments by building and prioritizing Epics, Stories, and Tasks to mature and improve clients' data platforms.
- Continually 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 beyond—across a progressively evolving technical stack.
- Provide technical thought leadership during client workshops, architecture reviews, and discovery sessions, recommending the right technologies and approaches to ensure performance, security, scalability, and user satisfaction.
- Ensure high quality in all 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 IP development, accelerators, delivery frameworks, and technical playbooks.
- Represent phData with professionalism in all client interactions, communicating clearly and effectively with both 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, delegating effectively and fostering a culture of 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.
You are a senior technical leader and client‑focused consultant who thrives in fast‑paced, outcomes‑driven environments. You are energized by working across multiple complex projects and customer environments simultaneously, and you are comfortable operating in ambiguity—quickly assessing situations, formulating actionable plans, and driving them through to completion. You bring deep expertise in cloud data platforms, strong consulting instincts, and the presence and communication skills to engage confidently with clients at all levels of an organization.
- 15+ years of total professional experience, including a minimum of 8+ years of relevant experience in data platform engineering, architecture, or managed services, with 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 (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/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 CI/CD frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase.
- Exceptional 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, with 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, delivering high‑quality outcomes with minimal supervision.
- Professional track record of creating, challenging, and improving processes and procedures in dynamic environments.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred qualifications help candidates stand out but are not required for success in this role.
- 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 are a plus.
This role is based in India (Bangalore) and operates primarily in IST (Indian Standard Time), with expected overlap with US time zones to support client engagement and collaboration with global teams.
- We are a remote‑first company, and you should be comfortable working with a distributed global team.
- Some flexibility may be required to collaborate across time zones with colleagues and clients, particularly for key project milestones, client workshops, or escalations.
- Client needs may occasionally require flexibility in working hours to support critical platform operations or delivery timelines.
- 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.
India:
- 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
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