{"id":1318425,"url":"https://alion.io/job/gotymex-lead-data-engineer-databricks-mlops-aws","title":"Lead Data Engineer (Databricks, MLops, AWS)","company":{"id":3827705,"name":"GoTymeX","domain":"gotymex.com","url":"https://alion.io/company/gotymex","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":43000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":432},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"dbt","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-06-11T00:00:00Z","employer_posted_date":"2026-06-11","last_verified_at":"2026-09-28T22:35:20Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Role Overview\nWe are seeking a Senior/Lead Platform Engineer who will take ownership of the design, implementation and operation of our core data, analytics and ML infrastructure. This role spans across platform architecture, DevSecOps, DataOps, and ML infrastructure, and requires a combination of strategic thought leadership and hands-on execution. You will build, integrate and operate platforms on AWS and Databricks, enabling scalable, secure, production-grade ML/AI solutions.\nKey Responsibilities\nArchitect and implement end-to-end data and ML platforms: data lakes, warehouses, streaming and batch pipelines, model training/deployment infrastructure, on AWS + Databricks. \nLead DevSecOps and DataOps practices: infrastructure as code (IaC), CI/CD pipelines for data & ML workflows, secure multi-account/multi-region cloud operations. \nIntegrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS/ECS) with Databricks runtime, Delta Lake, Unity Catalog etc to build scalable, performant pipelines. \nBuild and operate ML infrastructure: training clusters, model versioning, MLOps toolchain (e.g., MLflow), model monitoring and observability, automatic retraining workflows. \nEstablish data governance, lineage, quality, observability standards across data pipelines and ML workflows. \nMentor engineering teams, define architectural best practices and guide implementation of high-scale data/ML systems. \nOptimize system performance, cost and scalability; diagnose and resolve large-scale production issues. \nContinuously evaluate new tools and technologies in the areas of cloud, data platform, DevSecOps, ML infrastructure and apply them to drive innovation. \nRequirements\n7+ years of experience in data platform architecture, cloud/ML infrastructure engineering or related roles.\nDeep technical expertise in Databricks and AWS: demonstrated ability to design, integrate and operate solutions spanning both platforms.\nStrong hands-on implementation skills: you will not just design but build, deploy and operate the platform. \n Proven track record of building and operating scalable ML/AI platforms in production (model training & deployment).\nExpertise in Apache Spark, Delta Lake, modern data pipeline frameworks (batch + streaming). \nStrong background in infrastructure as code (Terraform, CloudFormation), CI/CD for data/ML, and DevSecOps practices. \nProficiency in Python and SQL; familiarity with Scala or equivalent is a plus. \nExperience with data governance, data lineage, observability and MLOps frameworks (e.g., MLflow, Airflow, dbt). \nBonus: Experience in fintech, regulated industries or high-security environments. \nBenefits\nPerformance-based bonus and equity participation in GoTyme Group\n13th month salary pro-rata\n15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave\nMeal and parking allowance are covered by the company.\nFull benefits and salary rank during probation.\nInsurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory\nSMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.\nValues-driven, international working environment, and agile culture.\nOverseas travel opportunities for training and working related.\nInternal Hackathons and company's events (team building, coffee run, blue card...)\nWork-life balance 40-hr per week from Mon to Fri.","description_format":"text","description_chars":3425,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T20:13:55Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.362,"p_room":0.28,"age_days":109,"expected_fill_days":23,"reasons":["conf:4","velocity","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/gotymex-lead-data-engineer-databricks-mlops-aws","json_url":"https://alion.io/job/gotymex-lead-data-engineer-databricks-mlops-aws.json","meta":{"generated_at":"2026-09-29T03:44:43Z","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":3499,"day_limit":5000,"remaining_today":1501,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}