{"id":126700,"url":"https://alion.io/job/snowflake-principal-solutions-architect-aiml-services-delivery","title":"Principal Solutions Architect - Data Engineering","company":{"id":96,"name":"Snowflake","domain":"snowflake.com","url":"https://alion.io/company/snowflake","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":53,"ghost_share":0,"stale_share":0.585,"repost_share":0.038,"time_to_fill_p50_days":55,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":196000,"max":257200,"currency":"USD","period":"year","gross":null,"usd_annual":257200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"DataStage","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"SSIS","optional":true}],"status":"live","first_seen_at":"2026-08-25T20:26:51Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-11-03T01:42:22Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.\nPRINCIPAL SOLUTIONS ARCHITECT\nWe are seeking experienced professionals with deep expertise in Data Engineering, Cloud Data Architecture, and AI-assisted, agentic development practices to join our Services Delivery team to help create exciting new offerings and capabilities for our customers!\nIn this strategic role, you will help customers modernize and expand their use of the Snowflake AI Data Cloud. You will take data pipelines from ideation to full production and pioneer agentic data engineering, where AI agents write, test, deploy, monitor, and optimize data workloads alongside engineers. You will use Snowflake's native capabilities across ingestion, transformation, orchestration, and governance, along with our partner ecosystem, to advise clients on best practices for resilient, cost-efficient, production-ready data architectures. You will design tailored data engineering solutions and define repeatable agent-driven delivery patterns that speed up migrations and platform builds. You will also work closely with customer teams and Systems Integrators, providing the technical leadership and oversight needed for successful outcomes.\nAS A PRINCIPAL SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL:\nBe a technical expert on all aspects of Snowflake as it applies to data engineering to provide customers with best practices given Snowflake's technology stack.\n\nWork with customers to understand their data engineering and platform modernization goals, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery.\n\nUnderstand how to build and deploy data pipelines with Snowflake features within the Snowflake ecosystem based on customer requirements.\n\nPioneer agentic data engineering practices. Use AI coding agents and Snowflake's AI capabilities to speed up pipeline development, code conversion and migration, testing, documentation, and day-to-day operations. Turn these approaches into repeatable delivery patterns and accelerators.\n\nWork hands-on where needed in SQL, Python, Snowpark, dbt, and agentic development tools to build POCs and reference implementations that show engineering techniques and best practices on Snowflake.\n\nFollow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own.\n\nMaintain a deep understanding of competing and complementary technologies and vendors in data engineering and in AI-assisted development, and know how to position Snowflake against them.\n\nGuide customers through their specific technical challenges, such as complex migrations, performance tuning, and cost optimization.\n\nSupport other members of the Services Delivery team as they develop their expertise.\n\nWork with Product Management, Engineering, and Marketing to keep improving Snowflake's products and marketing. Feed real-world delivery insights back into the roadmap for data engineering and agentic features.\n\nOUR IDEAL SOLUTION ARCHITECT - DATA ENGINEERING WILL HAVE:\nMinimum 5 years experience working with customers in a pre-sales or post-sales technical role.\n\nOutstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.\n\nThorough understanding of the complete data engineering lifecycle, including data ingestion, transformation, orchestration, data modeling, and data quality.\n\nThorough understanding of modern data architecture patterns, including batch and streaming pipelines, ELT, lakehouse and open table formats (Apache Iceberg), and data warehouse migration and modernization.\n\nStrong understanding of DataOps, along with the technologies and methods for deploying, testing, monitoring, and governing data pipelines (CI/CD, observability, performance tuning, and cost optimization).\n\nHands-on experience applying AI coding agents and agentic workflows to accelerate data engineering work such as pipeline development, code conversion, testing, and operations.\n\nExperience and understanding of at least one public cloud platform (AWS, Azure or GCP).\n\nExperience with at least one data platform or integration technology such as Databricks, AWS Glue/EMR, Azure Data Factory/Synapse, GCP BigQuery/Dataflow, Informatica, Fivetran, etc.\n\nHands-on scripting experience with SQL and at least one of the following: Python, Java or Scala.\n\nExperience with tools and frameworks such as dbt, Apache Spark/PySpark, Apache Airflow, Kafka, Pandas, or similar.\n\nUniversity degree in computer science, engineering, data science, mathematics or related fields, or equivalent experience.\n\nBONUS POINTS FOR HAVING:\nExperience migrating Databricks/Apache Spark or legacy ETL workloads (e.g., Informatica, SSIS, DataStage) to Snowflake\n\nExperience building agentic workflows, custom agent skills, or MCP-based tooling to automate data engineering tasks\n\nExperience with AI/ML workloads, including preparing data for feature engineering, RAG, or agent use cases, and understanding of ML/DL fundamentals.\n\nSnowflake certifications (e.g., SnowPro Advanced: Data Engineer or Architect)\n\nProven success within enterprise software\n\nVertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.\n\nEvery Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.\nSnowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\nHow do you want to make your impact?\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com","description_format":"text","description_chars":6725,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Warehouses & Lakehouses","Databases & DBMS","Data Marketplaces, Sharing & Clean Rooms"],"lifecycle":[{"event":"open","at":"2026-08-25T20:26:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 529 · green card filings: 106","filings_12m":529,"filings_prev_12m":372,"green_card_filings_12m":106,"median_offered_wage_usd":160862,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":81}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.544,"p_room":0.44,"age_days":68,"expected_fill_days":55,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":257200,"is_top_pay":true},"html_url":"https://alion.io/job/snowflake-principal-solutions-architect-aiml-services-delivery","json_url":"https://alion.io/job/snowflake-principal-solutions-architect-aiml-services-delivery.json","meta":{"generated_at":"2026-11-03T02:33:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3350,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":96},"rest":"https://alion.io/mcp/rest/get_company?id=96"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsnowflake-principal-solutions-architect-aiml-services-delivery"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsnowflake-principal-solutions-architect-aiml-services-delivery"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsnowflake-principal-solutions-architect-aiml-services-delivery"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/snowflake-principal-solutions-architect-aiml-services-delivery\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsnowflake-principal-solutions-architect-aiml-services-delivery"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":126700}},{"tool":"search_jobs","arguments":{"company":"snowflake.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":126700},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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