{"id":458916,"url":"https://alion.io/job/glydways-data-platform-engineering-lead","title":"Data Platform Engineering Lead","company":{"id":176388,"name":"Glydways","domain":"glydways.com","url":"https://alion.io/company/glydways","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":240000,"period":"year","method":"global_role_seniority_cell","sample_n":709},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Argo Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CMake","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"C++","optional":true}],"status":"live","first_seen_at":"2026-06-22T21:40:20Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-25T20:13:31Z","board_verified":true,"closed_at":null,"days_open":125,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":124},"description":"Who we are:\nGlydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity-connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.\nOur mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.\nThe Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility-without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.\nWith Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.\nMeet the team:\nThe Data Platform team, part of the Autonomy Software organization, is a collective of applied data scientists and data engineers responsible for building robust data pipelines to keep tabs on our robot software. We accomplish this using our in-house data platform, sponsoring cloud-native workflows, and championing data analytics tools across our partner teams. As the Data Platform Engineering Lead, you'll set the technical direction of our rapidly scaling data stack, staying hands-on to build its most critical pieces while growing the team of engineers behind it.\nRoles & Responsibilities:\nOwn the technical roadmap for our data platform, balancing near-term delivery against long-term scalability.\nDevelop analytics and data accessibility solutions for internal engineering teams as well as external stakeholders.\nSet a high bar of technical excellence for data quality, validation, governance, and observability across the data lifecycle.\nMentor and grow a team of analytics engineers and data engineering by guiding technical decisions, reviewing code and designs, and supporting career development.\nPartner with engineering leadership on planning, prioritization, and headcount.\nCollaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads.\nResearch, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities and influence build-vs-buy decisions.\nKnowledge, Skills and Abilities:\nDegree in Computer Science, Analytics, Engineering or a related field.\nExperience building and leading engineering teams.\nExtensive experience building and operating production data platforms, with a track record of technical ownership over major systems.\nProficiency with big data technologies (e.g., Spark, Hadoop, Hive, dbt).\nProficiency with workflow orchestration tools (e.g., Airflow, Argo Workflows).\nProficiency with multi-language build systems (e.g., Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).\nProficiency with cloud platforms (e.g., AWS, Azure, GCP).\nExpertise in Python and Shell.\nExpertise in SQL and/or SQL-like query languages.\nExpertise in version control systems (e.g., Git).\nExpertise in configuration languages (e.g., YAML, CUE).\nGlydways provides equal employment opportunities to all 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