{"id":2422990,"url":"https://alion.io/job/phdata-solutions-architect-3","title":"Solutions 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":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"ET","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":254000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":312},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"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":"Azure SQL Database","optional":false},{"name":"Bitbucket","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":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub","optional":false},{"name":"Matillion","optional":false},{"name":"MS SQL","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Flyway","optional":true},{"name":"Java","optional":true},{"name":"Liquibase","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-27T18:20:50Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-13T09:44:05Z","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 Solutions Architect - Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions, maximize platform ROI, and advance phData’s delivery excellence.\nKey Responsibilities\nClient Delivery\nOwn and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.\nTranslate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms (e.g., Redshift, Azure Data Warehouse), integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.\nEnsure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.\nCollaboration & Leadership\nCollaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.\nProvide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges.\nEnsure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms.\nPartner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData’s Operational Maturity Framework with clients.\nPractice & Firm Contribution\nContribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks.\nMentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence.\nSupport pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value.\nAbout You\nYou are a strategic, client-focused solutions architect who enjoys building and operating scalable, cloud-native data platforms that solve complex business problems. You are comfortable leading technical teams, managing multiple projects, and operating in distributed, global environments where outcomes and continuous improvement matter more than routines. You bring a hands-on mindset, strong communication skills, and a passion for aligning data infrastructure with long-term business goals.\nRequired Qualifications\nExperience\n8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment.\nTechnical / Functional Skills\nDeep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.\nStrong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.\nProven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.\nAdvanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.\nExperience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines and tooling (e.g., Bitbucket, GitHub).\nHands-on experience with data integration and ingestion tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.\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\nStrong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.\nExperience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.\nAbility to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.\nAbility to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.\nCollaboration & Ownership\nDemonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.\nProven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.\nExperience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.\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 or equivalent cloud/data platform certifications.\nExperience using Python for task automation, tooling, and operational efficiency in cloud-native environments.\nHands-on experience with automated database deployment and CI/CD frameworks such as Flyway or Liquibase.\nAdvanced degrees or additional relevant certifications in data, cloud, or software engineering disciplines.\nExperience supporting or implementing managed services offerings for cloud-native data platforms and working with global, remote teams.\nLocation & Time Zone Expectations\nThis role is based in the US and operates primarily in Central and Eastern time zones.\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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