{"id":2422983,"url":"https://alion.io/job/phdata-principal-solution-architect","title":"Principal Solution Architect","company":{"id":11321,"name":"phData","domain":"phdata.io","url":"https://alion.io/company/phdata","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"UTC-6 – UTC-5","utc_offset_min":-6,"utc_offset_max":-5},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":248000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":151},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Bitbucket","optional":false},{"name":"Cassandra","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Flyway","optional":false},{"name":"GitHub","optional":false},{"name":"Liquibase","optional":false},{"name":"Matillion","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-07-27T18:21:43Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-13T13:41:12Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"JoinphData, 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.\nWe're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.\nWhy phData?\nSnowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year\nAWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network\n 2025 Fivetran Partner of the Year (4th consecutive year)\n 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status\n2026 KNIME Customer Excellence Partner of the Year\n Preferred Partner in the Anthropic Claude Partner Network\n#1 Partner in Snowflake Advanced Certifications\n600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)\nRecognized as an award-winning workplace in the US, India and LATAM\nRole Overview\nWe are looking for a Principal Solutions Architect - Managed Services to join our Managed Services team. In this role, you will lead the architecture, operation, and continuous improvement of modern cloud-native data platforms for multiple customers, ensuring they are secure, scalable, and high-performing. You will collaborate closely with clients, engineers, and practice leadership to translate evolving requirements into actionable roadmaps and high-quality outcomes across streaming, data lakes, and analytics workloads.\nKey Responsibilities\nClient Delivery\nOwn and drive the design, provisioning, and enhancement of cloud-native data solutions on AWS and/or Azure, leveraging deep expertise in Snowflake and related data services for enterprise-scale platforms.\nLead the operation and management of modern data platforms-from streaming and data lakes to analytics-across a progressively evolving technical stack for multiple concurrent customer accounts.\nTranslate business and technical requirements into Epics, Stories, and Tasks that mature and improve customers’ data platforms, ensuring timely and successful delivery of these initiatives.\nProvide architectural and operational guidance for cloud-native data warehouses (e.g., Snowflake, Redshift) and distributed storage technologies (e.g., S3, ADLS, NoSQL) to support large user bases.\nRecommend appropriate technologies and approaches to ensure performance, security, scalability, and user satisfaction, including data model design for data warehouses and data lakes.\nContinually identify and deliver automation and optimization opportunities that expand and harden customers’ data platforms and phData’s managed services offerings.\nCollaboration & Leadership\nServe as the technical leader across multiple accounts, providing clear ownership, direction, and decision-making while navigating complex customer environments.\nDelegate work effectively, coach engineers, and mentor team members, fostering upskilling and continuous learning across evolving technology stacks.\nCollaborate across technology stacks and organizational silos to integrate disparate functions and technologies into cohesive solutions.\nCreate and deliver detailed technical presentations and recommendations for executive and senior stakeholders, articulating complex concepts clearly and confidently.\nDemonstrate calm, structured thinking under pressure-quickly assessing situations, formulating plans of action, and following through to successful outcomes.\nManage the human side of delivery, engaging respectfully and confidently with teammates and customers, including during challenging conversations.\nPractice & Firm Contribution\nCreate, challenge, and improve processes and procedures to enhance the quality, consistency, and scalability of managed services delivery.\nBuild automated solutions for repetitive administrative and operational tasks using Python or similar tooling to increase efficiency and reliability.\nContribute to internal knowledge sharing, training, and upskilling initiatives that raise the technical bar across the team.\nHelp refine and standardize patterns, runbooks, and best practices for modern data platforms, workflows, and CI/CD across the practice.\nAdditional Responsibilities\nAct as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.\nMentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.\nHelp define and refine practice standards, reusable assets, and delivery frameworks.\nAbout You\nYou are a client-focused technical leader and problem solver who thrives in fast-paced, operations-heavy environments with multiple concurrent customers and evolving requirements. You enjoy tackling complex data challenges, working across technology stacks and organizational boundaries, and turning ambiguity into structured plans and real outcomes. You bring strong presence, clear communication, and a collaborative mindset, valuing authenticity, psychological safety, and follow-through with teammates and clients alike.\nRequired Qualifications\nExperience\n15+ years of experience architecting, operating, and optimizing modern cloud-based data platforms and data warehouses in enterprise environments.\nTechnical / Functional Skills\nAdvanced data platform expertise in Snowflake and at least one major cloud platform (AWS and/or Azure), with experience in Databricks or similar technologies.\nHands-on experience with cloud and distributed data storage technologies such as S3, ADLS, Cassandra, or other NoSQL systems.\nStrong background in data integration technologies, including Spark, Kafka, event/streaming platforms, and tools such as Matillion, Fivetran, HVR, AWS Data Migration Services, and Azure Data Factory.\nProduction experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, and Luigi.\nStrong SQL skills, including the ability to write, debug, and optimize complex queries for performance and reliability.\nExtensive experience with Infrastructure as Code using Terraform or CloudFormation.\nExperience building automated solutions for repetitive administrative or operational tasks using Python or a similar language.\nFamiliarity with CI/CD and deployment frameworks, including tools like Bitbucket, GitHub, Flyway, and Liquibase.\nActive daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output. \nAbility to describe specific engineering tasks completed with AI assistance.\nConsulting / Delivery Skills\nExperience delivering projects and managed services for external or internal clients in a professional services, consulting, or complex enterprise environment.\nAbility to break down complex, multifaceted data challenges into structured, actionable steps and drive them through to completion.\nProven experience as a technical team lead and mentor, providing direction, coaching, and quality oversight for engineers.\nStrong client-facing written and verbal communication skills, including comfort presenting detailed technical content to executive audiences.\nCollaboration & Ownership\nDemonstrated ability to work effectively with distributed, cross-functional teams across platforms, applications, and organizational boundaries.\nProfessional track record of creating, challenging, and improving processes and procedures to enhance delivery quality and efficiency.\nUnmatched troubleshooting and performance tuning skills, with a strong sense of ownership and follow-through.\nPresence and poise to manage the human side of delivery, including difficult conversations, while upholding a respectful and collaborative culture.\nEducation\nBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\nPreferred Qualifications\nPreferred qualifications help candidates stand out but are not required for success in this role.\nSnowflake SnowPro Core certification.\nOne or more Snowflake advanced certifications.\nBachelor’s degree in Computer Science or a related field.\nExperience in managed services, operations-focused roles, or similar environments supporting multiple customers simultaneously.\nPrior experience working in global or remote teams and partnering across US, LATAM, and/or India.\nContributions to open source, technical communities, speaking, writing, or internal accelerators are a plus.\nLocation & Time Zone Expectations\nThis role is based in US and operates primarily in Central and/or Eastern time zones with significant overlap to US Central Time.\nWe are a remote-first company, and you should be comfortable working with a distributed global team.\nSome flexibility may be required to collaborate across time zones with colleagues and clients.\nClient needs may occasionally require flexibility in working hours to support key milestones or workshops.\nWhy phData?\nImpactful Work: Partner with leading organizations on meaningful data & AI initiatives.\nCollaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.\nGrowth Opportunities: Access to challenging projects, mentorship, and structured development pathways.\nValues-Driven: We prioritize doing the right thing for our clients, our teams, and our community.\nBenefits at phData\nUS:\nRemote-First Work Environment\n401k plan with company match\nMedical, Dental and Vision insurance\nHome Office Equipment Stipend\nAnnual stipend for Learning and Development\nCompetitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)\nphData 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. 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