{"id":1404832,"url":"https://alion.io/job/trend-micro-staff-data-engineer-data-platform","title":"Staff Data Engineer - Data Platform","company":{"id":20752,"name":"Trend Micro","domain":"trendmicro.com","url":"https://alion.io/company/trend-micro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":42,"ghost_share":0,"stale_share":0.786,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":150000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":263},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"CockroachDB","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Trend Micro","optional":false},{"name":"Trino","optional":false},{"name":"YugabyteDB","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Knowledge Graph","optional":true}],"status":"live","first_seen_at":"2026-09-28T17:20:03Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-02T21:17:29Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.\nAt TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future.\nAI Fearlessly.\nAbout the Role\nWe are looking for a Staff Data Engineer - Data Platform to help design and build the next generation of the Vision One Data Platform.\nThis is a highly technical, hands-on role focused on creating a modern data foundation that enables Vision One engineering teams to discover, govern, access, transform, and analyze data across the platform. You will work at the intersection of distributed databases, data engineering, data governance, semantic discovery, and self-service analytics.\nA key part of the role is enabling dbt as a self-service data transformation and modeling capability across Vision One OLTP databases, while building the underlying architecture, governance, and data movement infrastructure required to do this reliably at scale.\nYou will work closely with platform, product, security, and data engineering teams to establish common data standards and infrastructure that can be reused across Vision One.\nWhat You’ll Do\nDesign and build the Vision One Data Platform, including data ingestion, replication, transformation, governance, discovery, and serving capabilities.\nBuild scalable data pipelines and change-data-capture (CDC) architectures using technologies such as Datastream and similar streaming/replication technologies.\nEnable self-service dbt across Vision One OLTP data sources, providing product teams with governed capabilities to transform, model, test, document, and expose their data without requiring the central data platform team to build every pipeline.\nEstablish patterns for safely extracting and replicating data from OLTP and distributed SQL databases into analytical and downstream data systems.\nDesign architectures around distributed SQL technologies such as YugabyteDB, CockroachDB, or similar platforms.\nWork with technologies such as Databricks and modern analytical processing engines to support large-scale data processing and analytics.\nBuild a comprehensive data catalog and metadata foundation that enables teams and AI agents to understand what data exists, where it comes from, what it means, and how it can be used.\nDevelop semantic data discovery capabilities that allow engineers, analysts, applications, and AI agents to discover relevant data based on business meaning rather than only database/schema names.\nEstablish data governance standards covering ownership, lineage, schemas, quality, access control, retention, and lifecycle management.\nDevelop reusable data platform primitives and APIs that product teams can consume as self-service capabilities.\nBuild automated mechanisms for data quality, schema evolution, lineage, observability, and freshness monitoring.\nDesign for evolving product schemas and ensure the platform can accommodate continuous changes without creating excessive duplication or operational overhead.\nPartner with security and platform engineering teams to establish appropriate fine-grained data access controls across databases, schemas, tables, and data products.\nHelp establish the source-of-truth architecture for Vision One data while minimizing unnecessary data duplication.\nProvide technical leadership and architectural guidance to other data engineers and product engineering teams.\nDrive engineering standards around reliability, scalability, performance, cost efficiency, and operational excellence.\nWhat You Bring\nRequired:\n8+ years of experience in data engineering, distributed systems, backend engineering, or a related field.\nStrong experience designing and building large-scale data platforms and data pipelines.\nDeep understanding of OLTP and OLAP architectures and the tradeoffs between them.\nHands-on experience with CDC, data replication, and streaming architectures.\nStrong SQL expertise and experience working with relational databases at scale.\nExperience with distributed SQL databases, such as YugabyteDB, CockroachDB, Spanner, or similar technologies.\nExperience building data transformation workflows using dbt or similar data modeling frameworks.\nExperience with modern analytical/data platforms such as Databricks, Spark, Trino, Snowflake, BigQuery, or equivalent.\nStrong understanding of data governance concepts including metadata, lineage, data quality, ownership, access control, and data catalogs.\nExperience designing systems that support self-service data consumption and transformation.\nStrong software engineering fundamentals, including API design, testing, CI/CD, observability, and production operations.\nAbility to work across organizational boundaries and influence architecture and engineering standards without relying solely on formal authority.\nPreferred Qualifications\nExperience building a company-wide or platform-level Data Platform rather than individual product pipelines.\nExperience with Datastream, Debezium, Kafka, or similar CDC/streaming technologies.\nExperience with YugabyteDB or CockroachDB in production environments.\nExperience operating Databricks or similar distributed data-processing platforms.\nExperience designing data catalogs, semantic layers, knowledge graphs, or ontology-driven data discovery.\nExperience building platforms that expose data to AI/agentic applications.\nExperience with data mesh, data products, or domain-oriented data architectures.\nExperience implementing fine-grained authorization for data platforms.\nExperience managing large-scale telemetry, security, observability, or other high-volume data.\nExperience balancing data quality, query performance, platform reliability, and infrastructure cost.\nWhat Success Looks Like\nIn this role, you will help establish a Data Platform where:\nVision One data can be discovered through a common semantic layer, rather than requiring teams to understand every underlying database and schema.\nProduct teams can use dbt as a governed self-service capability across their OLTP data.\nData lineage, ownership, quality, and access policies are built into the platform rather than managed manually.\nData can move reliably from distributed OLTP systems into analytical and downstream systems through standardized CDC and streaming patterns.\nProduct teams can consume platform capabilities without repeatedly building their own ingestion, transformation, governance, and discovery infrastructure.\nThe platform provides a trusted source of truth while minimizing unnecessary copies of data.\nThe resulting data foundation can support not only traditional analytics and applications, but also AI and agentic experiences across Vision One.\nEngineering Leadership\nAs a Staff Engineer, you will be expected to operate beyond the boundaries of a single team. You will shape architecture, establish technical standards, mentor engineers, drive cross-team adoption, and solve ambiguous problems that span multiple products and systems.\nYou should be comfortable going deep into implementation details while simultaneously thinking about the long-term architecture of a large-scale, multi-product security data platform.\nWhy Join TrendAI?\nTrendAI is a leader in AI security. We not only delivered the first open-weight, cybersecurity-focused large language model, but also the industry's first security companion agent evaluated directly by customers. Trend Vision One integrates endpoint, cloud, network, email, identity, AI application, and data security into a single, unified platform. In this role, you will help define how a security-critical product is built - including how AI shapes the development process itself. You will partner with engineering leaders applying AI to that process, working in an environment where the bar on systems thinking, critical review, and security instinct has gone up, not down.\nWhat We Offer You:\nYou're important to us. What matters to you, matters to us too. TrendAI provides benefit options for you and your family.\nComprehensive medical, dental and vision insurance\nLife insurance\nShort & Long Term Disability\nPre-partum, maternity, parental and medical leave\nMental Health Wellness Program\nAdoption Assistance\nWellness Incentive\nPet Insurance\n401(k) with company match\nPaid Time Off\n14 Annual Holidays\nTuition Assistance\nEmployee Resource Groups\nWe offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities. Achieving work-life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work.\nAt Trend Micro, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. Trend Micro provides equal employment opportunity for all applicants and employees. Trend Micro does not unlawfully discriminate on the basis of race, color, religion, sex, pregnancy and childbirth or related medical conditions, national origin, ancestry, age, physical or mental disability, medical condition, family care leave status, veteran status, marital status, sexual orientation, or gender identity.","description_format":"text","description_chars":9638,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Information Security","Email Security"],"lifecycle":[{"event":"open","at":"2026-09-28T17:20:03Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":50,"reasons":["conf:12","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/trend-micro-staff-data-engineer-data-platform","json_url":"https://alion.io/job/trend-micro-staff-data-engineer-data-platform.json","meta":{"generated_at":"2026-10-03T03:30:51Z","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":3349,"day_limit":5000,"remaining_today":1651,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}