{"id":121519,"url":"https://alion.io/job/pattern-staff-data-platform-engineer","title":"Staff Data Infrastructure Engineer","company":{"id":9124,"name":"Pattern","domain":"pattern.com","url":"https://alion.io/company/pattern","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":69,"ghost_share":0,"stale_share":0.275,"repost_share":0,"time_to_fill_p50_days":90,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lehi, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":414},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ClickHouse","optional":false},{"name":"Databricks","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Trino","optional":false},{"name":"C++","optional":true},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"Java","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Ruby","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-04-27T21:58:32Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-10-16T09:12:14Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":171},"description":"We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern.\nWhat is a day in the life of a Staff Data Infrastructure Engineer?\nBuild and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders\n\nDesign and implement architectural solutions that drastically reduce friction in data access across the organization.\n\nCollaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.\n\nUnderstand and integrate best security practices to ensure access compliance across all data assets\n\nTroubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.\n\nArchitect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.\n\nWhat will I need to thrive in this role?\n8+ years of experience in data infrastructure or backend software engineering with a \"Data Fanatic\" mindset.\n\nCloud Mastery: Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure.\n\nData Processing: Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus.\n\nTechnical Excellence: Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.\n\nProactive Leadership: A \"can-do\" attitude with a proven track record of solving complex problems and taking initiative.\n\nCollaborative Spirit: Strong ability to work across teams to deliver high-quality, high-impact results.\n\nSystem Observability: Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.\nWhat does high performance look like?\nExecution & Innovation: You proactively find and implement solutions that ensure platform scalability while remaining cost-effective, consistently optimizing infrastructure performance.\n\nSystem Scalability: You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively.\n\nA Team of Doers: You mentor team members daily, driving a culture of technical excellence and growth.\n\nSetting the Bar: You establish and enforce industry-leading best practices, ensuring the team adopts cutting-edge processes.\n\nWhat is my potential for career growth?\nDirect mentorship opportunities with senior leadership in Data and Architecture.\n\nProfessional exposure through collaboration with diverse departments across the global Pattern ecosystem.\n\nA clear, merit-based path for advancement within a rapidly growing tech company.\n\nOpportunities to lead high-visibility projects that define the future of Pattern’s technical roadmap.\n\nInternal promotion priority for high-performing \"Pattern People.\"\n\nWhat does success look like in the first 30, 60, 90 days?\nFirst 30 Days: Build context quickly, assess the current platform, and identify the most important opportunities for improvement.\n\nFirst 60 Days: Contribute immediately to high-priority initiatives and lead design efforts to improve platform reliability, scalability, and operations.\n\nFirst 90 Days: Deliver significant technical impact, shape the platform roadmap, and provide technical leadership across the organization.\n\nWhat is the team like?\nThis role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture.\nSounds great! What’s the company culture?\nWe are looking for individuals who are:\nGame Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.\n\nData Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.\n\nPartner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.\n\nTeam of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.\n\nWhat is the hiring process?\nInitial interview with Pattern’s talent acquisition team\n\nTechnical video interview with a senior member of the data platform team\n\nOnsite interview with peers and senior leadership\n\nProfessional reference checks\n\nExecutive review\n\nOffer\n\nHow can I stand out as an applicant?\nStrong Nice-to-Haves: Expertise in Databricks/Snowflake, experience with GoLang or Scala, and a history of contributing to open-source data projects.\n\nQuantify Success: During the interview, discuss professional accomplishments using specific data and metrics to show your impact.\n\nShow Your Passion: Highlight any side projects related to data analytics or large-scale infrastructure.\n\nThe \"Partner\" Lens: Be prepared to explain how your technical decisions directly improve the experience and success of the partners who rely on your data platform.","description_format":"text","description_chars":6405,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","E-commerce Marketing"],"lifecycle":[{"event":"open","at":"2026-04-27T21:58:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 31","filings_12m":31,"filings_prev_12m":10,"green_card_filings_12m":0,"median_offered_wage_usd":102500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US 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