{"id":1287539,"url":"https://alion.io/job/seatrium-data-architect","title":"Data Architect","company":{"id":3100836,"name":"Seatrium","domain":"seatrium.com","url":"https://alion.io/company/seatrium","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"D","score":54,"open_postings":142,"ghost_share":0.768,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":216000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":404},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SAP HANA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-08T00:00:00Z","employer_posted_date":"2026-04-08","last_verified_at":"2026-09-28T00:53:10Z","board_verified":true,"closed_at":null,"days_open":173,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":172},"description":"JOB DESCRIPTION\nDesign data architecture and implement enterprise data platform across ingestion, storage, transformation, serving, and consumption layers.\nDefine / drive standards, and implement data modelling, metadata, lineage, ownership, security, quality, governance, and compliance (PDPA).\nDrive enterprise data governance outcomes across the company by aligning business, DPO, and IT stakeholders around policies, data standards, data protection requirements, consistent governance processes, data ownership, lifecycle, and quality.\nWork with business owners and data stewards to define business metadata and critical data elements. Maintain glossaries, lineage, classification schemas, and domain structures. Maintain repository of enterprise data assets and domains.\nCoordinate, schedule, and run the Data Governance Council (DGC) meetings and working sessions.\nSupport audits, assessments, and remediation actions.\nCollaborate with business stakeholders or cross functional team to define problems, identify key metrics, and present data-driven recommendations.\nContribute hands-on to key data platform, integration, and data engineering work, especially in foundational and high-impact areas.\nDesign scalable data integration patterns across enterprise applications, operational systems, industrial systems, and analytics environments.\nDesign, develop, and maintain trusted, reusable, and efficient data pipelines, curated datasets, and enterprise data assets.\nPartner with AI Engineers to ensure the data platform supports AI/ML use cases, including historical data retention, feature-ready datasets, trusted training data, reproducibility, and consistency between training and production usage.\nWork closely with engineering and infrastructure teams to ensure solutions are practical, scalable, secure, and supportable.\nProvide insights to business units through advanced analytics and visualization.\nContribute to roadmap planning, architecture governance, technology evaluation, and continuous improvement of the enterprise data platform.\nJOB REQUIREMENTS\nBachelor’s degree in Computer Science, Information Technology, Computer Engineering, Data Engineering, Information Systems, or a related discipline. Equivalent practical experience will also be considered.\nMinimum 8 years of experience in data architecture, data engineering, data platform development, or similar enterprise data roles. 5+ years of experience in data governance, data management, or data protection roles.\nStrong knowledge of data cataloging, metadata, lineage, classification, and data quality.\nUnderstanding of IT security and data protection controls.\nExperience working with ERP, operational, industrial, or engineering data sources is advantageous.\nExposure to data foundations supporting AI/ML, predictive analytics, or intelligent automation is beneficial.\nStrong expertise in data or platform architecture, lead data engineering, or other senior hands-on technical roles.\nProven experience designing enterprise-scale data platforms, integration patterns, and analytical data structures.\nHands-on experience building or guiding implementation of data pipelines, platform components, and data engineering solutions.\nSolid understanding of enterprise data architecture, including data warehouse, data lake/lakehouse, dimensional modeling, metadata, lineage, governance, and security.\nFamiliarity with Microsoft Purview or similar tools. Understanding of IT security and data protection controls.\nCertifications such as DCAM, DAMA CDMP, or IAPP are advantageous.\nStrong knowledge of data engineering and integration practices such as ETL/ELT, batch processing, CDC, APIs, event-driven integration, schema evolution, observability, idempotency, and reprocessing.\nGood understanding of data platform requirements for AI/ML workflows, including historical data management, feature engineering, training data preparation, and reproducibility.\nStrong communication and stakeholder management skills, with the ability to collaborate across architecture, engineering, infrastructure, analytics, and AI teams.\nAbility to manage multiple projects and deliverables effectively in a dynamic environment.\nExperience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or Synapse.\nExperience with data lake/lakehouse ecosystems such as Databricks, Delta Lake, Apache Iceberg, or Hudi.\nExperience with data integration/orchestration tools such as Airflow, Dagster, dbt, Kafka, or Spark.\nFamiliarity with enterprise databases and integration technologies such as SQL Server, Oracle, PostgreSQL, MySQL, SAP HANA, CDC tools, and API/event-based integration.\nExperience working with cloud or hybrid environments such as AWS, Azure, or GCP.\nExposure to data governance, cataloging, lineage, and data quality tools.\nLocation:\nSeatrium (SG) Pte. Ltd.\nPioneer Yard\n50 Gul Road, Singapore 629351\n(Islandwide transport provided)\nWorking Hours:\nMonday - Thursday: 8:00am - 5.15pm\nFriday: 8:00am - 4.30pm\nInterested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.\nWe regret that only shortlisted candidates will be notified.\nPlease note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.\nBUSINESS UNIT\nSeatrium Limited","description_format":"text","description_chars":5563,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities"],"lifecycle":[{"event":"open","at":"2026-09-26T05:47:13Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":172,"expected_fill_days":39,"reasons":["conf:11","stale_co","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/seatrium-data-architect","json_url":"https://alion.io/job/seatrium-data-architect.json","meta":{"generated_at":"2026-09-28T03:22:14Z","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":2108,"day_limit":5000,"remaining_today":2892,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}