{"id":508422,"url":"https://alion.io/job/firmus-technologies-principal-data-engineer","title":"Principal Data Engineer","company":{"id":63306,"name":"Firmus Technologies","domain":"firmus.ai","url":"https://alion.io/company/firmus-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-10-28T05:59:10Z"}},"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":"explicit","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":221000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Helm","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Trino","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-07T04:56:13Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-28T07:16:26Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Firmus Technologies\nFirmus Technologies is a global leaderpioneering the development and operation of efficient AI infrastructure across Asia Pacific. \nFounded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. \nAt Firmus, we are unique in our approach. We design, build, and operatea new class of digital infrastructure - the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. \nFirmus AI Cloud\nOur large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. \nIt empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. \nROLE\nFirmus Technologies is seeking a Principal Data Engineer to join our Engineering and Technology team. You will own the data architecture across the company, setting the standards, patterns, and technology choices our engineers build on as we scale the platform. Your influencespans the full data stack: streaming telemetry off GPU compute and cooling systems, the data lake feeding hardware failure prediction models, the AI-native layers powering agent-based workflows, and the governance layer that keeps it all secure, discoverable, and compliant.You willbe one ofthe most senior technical voicesfor data at Firmus: you make the architecture decisions the organisation lives with long-term, and you stay hands-on on the problems that are too complex or too consequential to delegate. \nKEY RESPONSIBILITIES\nData Architecture & Technology Strategy \nOwn the data architecture across Firmus: the patterns, technology choices, and technical standards that teams build on. Make the build-versus-buy, storage-topology, and streaming-versus-batch decisions the organisation lives with long-term and own the outcomes they lead to. \nPlatform Build & Operations \nBuild the core of the data platform hands-on: the real-time and AI data pipelines, the storage layer, and the transformation and semantic layers that serve BI tooling, internal analytics, and customer-facing reporting. Collaborate with the data engineers and platform engineers to deliver and operate streaming and batch ingestion from GPU telemetry, cooling sensors, billing, and incident sources, with clear reliability, schema-evolution, and latency SLAs. Data components run as infrastructure-as-code on the self-hosted, bare-metal Kubernetes. You own their deployment, quality, and storage cost, and work with platform engineers on backup, recovery, and incident response. \nGovernance, Quality & Compliance \nDefine and enforce data contracts, lineage, and access control across teams. Set organisation-wide data quality and observability standards: schema contract enforcement, freshness SLAs, and anomaly detection. Extend Firmus' existing SOC 2 Type 2 and ISO 27001 controls to the data platform as it scales into new data centres and meet the regulatory requirements that apply to our enterprise and government customers. \nTechnical Leadership \nRaise the standard of data engineering in Firmus. Run design and architecture reviews, drive the RFC process, and catch architectural problems before they reach production. Mentor engineers on data architecture, data quality, and operational practice, building capability rather than a dependency on you. \nStakeholder & Customer Interface \nPresent architecture decisions and trade-offs to the CTO and engineering leadership, direct about risks and clear about recommendations. Partner with the AI and application team so the architecture supports AI agent workflows and hardware failure prediction. Engage enterprise and government customers on architecture, lineage, or compliance when the conversation needs a senior technical voice. \nSKILLS AND EXPERIENCE \nBachelor's degree in computer science or a related technical field. \n10+ years in data engineering or data architecture, including at least 5 years making platform-level decisions that other teams depended on. You are still hands-on and intend to stay that way. \nYou have been the most senior data engineer or architect in an organisation before, owning the architecture rather than contributing to it. \nDeep, hands-on knowledge of end-to-end data architecture: ingestion, storage patterns, transformation, semantic layer design, observability, and governance. \nTrack recorddesigning large-scale data platforms that integrate data across multiple regions or data centres. \nProduction experience operating high-cardinality time-series and telemetry pipelines at high ingest and update rates. \nProduction experience across columnar, time-series, relational, object, and vector storage patterns. You know when to use each one and what it costs to operate. \nHands-on experience with event streaming platforms such as Apache Kafka for extremely high-throughput, low-latency ingestion. \nHands-on experience with both managed data platforms (such as Databricksor Snowflake) and their self-hosted, open-source equivalents (such as Spark, Trino, ClickHouse, and lake housetable formats like Delta Lake or Apache Iceberg). \nStrong proficiencyin Python and SQL, with distributed processing frameworks such as Apache Spark. \nExperience with pipeline orchestration and transformation tooling such as Airflow and dbt, with data quality testing built into standard pipeline development. \nKubernetes experience covering Helm-based deployments and operation of stateful data workloads on self-hosted, bare-metal infrastructure. \nExperience delivering data governance programmes against compliance frameworks such as SOC 2 Type 2 or ISO 27001, not just awareness of them. \nExperience running architectural reviews and setting engineering standards across teams. \nWilling to take part in the incident-response on-call rotation for the services your team owns. \nWilling to travel overseas occasionally when the role requires it. \nClear and effective written and verbal communication in English. You can explain a complex architectural decision to a CTO or customer without losing the substance. \nPreferred Experiences: \nBackground in AI infrastructure, GPU cloud, or high-performance compute, particularly working with infrastructure telemetry data at scale. \nExperience with industrial IoT and OT telemetry pipelines. \nProduction experience with vector databases and embedding or retrieval pipelines for LLM and AI-agent use cases such as failure prediction and incident response. \nLocation: Singapore\nEmployment Basis\nFull-time\nDiversity\nAt Firmus, we are committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds who are passionate about creating a more sustainable future through innovative engineering solutions.\nJoin us in our mission to revolutionize the AI industry through sustainable practices and cutting-edge engineering. Apply now to be part of shaping the future of sustainable AI infrastructure.","description_format":"text","description_chars":7448,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-07T13:20:53Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.836,"p_room":0.9,"age_days":51,"expected_fill_days":81,"reasons":["conf:3","velocity","win:mid"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/firmus-technologies-principal-data-engineer","json_url":"https://alion.io/job/firmus-technologies-principal-data-engineer.json","meta":{"generated_at":"2026-10-28T08:22:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10810,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":63306},"rest":"https://alion.io/mcp/rest/get_company?id=63306"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffirmus-technologies-principal-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffirmus-technologies-principal-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffirmus-technologies-principal-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/firmus-technologies-principal-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffirmus-technologies-principal-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":508422}},{"tool":"search_jobs","arguments":{"company":"firmus.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":508422},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}