{"id":3273017,"url":"https://alion.io/job/unison-group-teradata-data-architect","title":"Teradata Data Architect","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":71,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"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","Kuala Lumpur, Malaysia"],"countries":["SG","MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":133000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-26T12:45:28Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T13:40:41Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are seeking an experienced Teradata Data Architect to design and lead enterprise-scale data architecture, data warehousing, and Lakehouse solutions. The ideal candidate will have strong expertise in Teradata, modern Databricks architecture, data modelling, and large-scale data processing using PySpark. The role involves modernizing legacy data platforms, implementing scalable Lakehouse architectures, and establishing enterprise data governance and security standards.\nDesign and implement enterprise data architecture across Teradata.\nArchitect modern Lakehouse solutions using Databricks, Delta Lake, and cloud data platforms.\nLead data warehouse modernization, migration, and integration initiatives from Teradata to Databricks.\nDesign conceptual, logical, and physical data models for enterprise data warehouses and Lakehouse platforms.\nDevelop and optimize data pipelines using PySpark, Spark SQL, SQL, and Databricks workflows.\nImplement enterprise data governance, data discovery, access controls, lineage, and metadata management using Unity Catalog.\nDefine data ingestion, transformation, ETL/ELT, batch processing, and streaming architecture.\nOptimize Teradata SQL, Spark jobs, Delta Lake tables, query performance, and overall platform costs.\nEstablish standards for data quality, security, scalability, reliability, and regulatory compliance.\nCollaborate with data engineers, business analysts, cloud architects, and business stakeholders to translate requirements into technical architecture.\nLead architecture reviews, technical design decisions, proof of concepts, and best-practice implementation.\nRequirements\nStrong hands-on experience in Teradata database architecture, enterprise data warehousing, and SQL performance tuning.\nProven experience designing modern data architectures using Databricks and the Lakehouse paradigm.\nStrong knowledge of Databricks Lakehouse, Delta Lake, and Apache Spark architecture.\nHands-on experience with PySpark, Spark SQL, and distributed data processing.\nExperience with Unity Catalog, including data governance, permissions, lineage, metadata, and access control.\nStrong expertise in data modelling, dimensional modelling, data integration, and ETL/ELT architecture.\nExperience designing scalable data pipelines, data transformation frameworks, and enterprise data platforms.\nKnowledge of data security, data quality, data lifecycle management, and architecture standards.\nExperience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.","description_format":"text","description_chars":2511,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-26T12:45:28Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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