{"id":669290,"url":"https://alion.io/job/aghanim-senior-data-engineer","title":"Senior Data Engineer","company":{"id":668944,"name":"Aghanim","domain":"aghanim.com","url":"https://alion.io/company/aghanim","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":50,"open_postings":23,"ghost_share":0.826,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia","Lisbon, Portugal"],"countries":["RS","PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":111000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true},{"name":"Looker","optional":true}],"status":"live","first_seen_at":"2026-07-29T07:23:00Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-01T18:24:44Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":63},"description":"Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.\nMobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.\nOur team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.\nWe are looking for a senior, hands-on data professional to help define how analytical data should be structured, governed, and consumed across our business.\nThis role sits at the intersection of product analytics, data governance, analytical modeling, and platform efficiency. The person in this role will be responsible for building the right abstraction layers in BigQuery, reducing reliance on raw-table querying, and creating trusted, reusable datasets for analytics, AI systems, and key reporting workflows.\nThe role will work closely with Customer Success, Product, AI/ML, Engineering, and Finance, with a particularly strong partnership with producers and teams working on monetization, behavioral analytics, e-commerce and payment-related performance.\nKey Responsibilities\n1. Data Governance & Analytics Standards\nOwn the governance of analytical data, including canonical datasets, metric definitions, dataset ownership, documentation, lineage, access controls, and data quality.\n\nDefine and maintain shared business entities and reporting logic so teams work from consistent, trusted data.\n\nPartner with engineering teams to establish data contracts and improve the reliability of analytical datasets.\n\nContinuously identify recurring analytical workflows and convert them into reusable, governed data assets.\n\n2. Analytics Data Modeling\nDesign and maintain analytical data models in BigQuery across staging, core, and reporting layers.\n\nBuild reusable datasets that support monetization, LiveOps, customer behavior, payments, and operational reporting.\n\nEnsure business logic is implemented at the appropriate layer and follows consistent modeling standards.\n\nReduce direct querying of raw tables by providing well-structured analytical datasets.\n\n3. Data Platform Performance & Scalability\nOptimize BigQuery performance and cost through efficient data modeling, partitioning, clustering, and query optimization.\n\nDefine best practices for scalable analytical workloads and efficient data consumption.\n\nIdentify redundant datasets and reporting logic, improving both maintainability and warehouse efficiency.\n\n4. Semantic Layer & Analytics Architecture\nHelp define the architecture for serving analytical data to BI tools, internal applications, and AI-driven workflows.\n\nEvaluate semantic-layer technologies and modern analytics architectures (such as Cube.js and similar solutions).\n\nContribute to long-term decisions around analytical infrastructure and data serving patterns.\n\n5. Cross-Functional Partnership\nWork closely with product, producers, analysts, and engineering teams to translate business requirements into reusable data models.\n\nContribute hands-on using SQL, Python, BigQuery, dbt-style modeling practices, and GCP-native tooling.\n\nImprove how analytical work is structured across the organization and help establish best practices as the function grows.\n\nRequired Qualifications\n5+ years of experience in data analytics, product analytics, analytics engineering, or a related function.\n\nStrong hands-on experience with BigQuery and GCP in production environments.\n\nAdvanced SQL skills and strong practical experience building analytical models, reusable marts, or semantic/reporting-ready datasets.\n\nHands-on experience using Python for analysis, validation, prototyping, or data workflow support.\n\nProven experience with data governance in analytics environments, including several of the following:\nsource-of-truth design,\n\ndataset ownership,\n\nnaming conventions,\n\ndocumentation,\n\nlineage,\n\naccess management,\n\ndata quality controls,\n\ncost governance,\n\ndata contracts with engineering.\n\nExperience designing or improving data abstraction layers such as raw / staging / core / marts / semantic.\n\nPractical experience improving cost-efficiency and performance of analytical workloads in a cloud warehouse environment.\n\nExperience with semantic layers, OLAP / ROLAP / HOLAP architectures, or similar analytical serving patterns.\n\nStrong domain experience in at least one of the following areas:\nmonetization analytics,\n\nLiveOps analytics,\n\ne-commerce or payments analytics,\n\nbehavioral product analytics,\n\ncustomer analytics.\n\nExperience working directly with cross-functional stakeholders and turning loosely defined requests into scalable analytical solutions.\n\nDemonstrated ability to stay hands-on while operating with senior ownership and strong execution discipline.\n\nPreferred Qualifications\nExperience in gaming, mobile gaming, F2P, or live-service product environments.\n\nExperience with Looker or Looker Studio.\n\nExperience evaluating or implementing semantic-layer technologies such as Cube.js or equivalent solutions.\n\nExperience supporting AI/LLM-related data consumption use cases.\n\nPrevious people management, mentoring, or team leadership experience.\n\nExperience helping define data standards across multiple teams rather than working only as an individual analyst.\n\nWhy Join Us\nWorld-class team - work alongside experienced professionals from around the globe who have built products used by millions of players\n\nHigh growth, high impact - be part of a fast-growing company where ideas turn into products and reach customers in days, not months\n\nAutonomy and ownership - we trust people to make decisions, take initiative, and drive results\n\nModern tools and technology - use AI, automation, and modern tools as part of your everyday work\n\nEquity - participate in the company's growth and long-term success","description_format":"text","description_chars":6302,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-10T22:17:39Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.37,"p_room":0.36,"age_days":63,"expected_fill_days":42,"reasons":["conf:19","stale_co","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/aghanim-senior-data-engineer","json_url":"https://alion.io/job/aghanim-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T18:51:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1089,"day_limit":5000,"remaining_today":3911,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}