{"id":1264080,"url":"https://alion.io/job/waisl-limited-data-platform-architect-2","title":"Data Platform Architect","company":{"id":3800668,"name":"WAISL LIMITED","domain":"waisldigital.com","url":"https://alion.io/company/waisl-limited","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","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":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Collibra","optional":false},{"name":"Data Vault","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Master Data Management","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-03-22T06:50:27Z","employer_posted_date":"2026-03-22","last_verified_at":"2026-10-02T17:57:56Z","board_verified":true,"closed_at":null,"days_open":194,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":193},"description":"Job Description: Data Model ArchitectWe are seeking a Data Model Architect to lead the design of scalable, future-ready data models across our enterprise data platform. This role combines deep technical expertise with strong conceptual modeling skills to ensure data is organized, governed, and optimized for analytics, operations, and product use cases.\nWhat You’ll Do\nDefine and evolve enterprise-wide conceptual, logical, and physical data models across domains.\nLead data modeling for data lakes, lakehouse architectures, warehouses, and operational data stores.\nEstablish data standards, taxonomies, ontologies, and naming conventions for cross-team consistency.\nPartner with data engineering teams to design schema evolution, partitioning, SCD strategies, and optimization for performance and cost.\nWork closely with architects to align data models with domain-driven design (DDD) and data product principles.\nCollaborate with product, engineering, and analytics teams to translate business requirements into high-quality data models.\nReview pipelines, schemas, and data contracts to ensure adherence to governance, quality, lineage, and security standards.\nEvaluate and introduce best practices for metadata management, master data, reference data, and semantic layers.\nDocument models using industry-standard tooling and communicate data structures clearly to stakeholders.\nWhat You Bring\n9+ years of experience in data architecture, data modeling, or data engineering.\nStrong expertise in conceptual/logical/physical modeling, dimensional modeling, and data vault.\nExperience designing models for modern stacks- Data Lakehouse (Iceberg/Delta/Hudi), MPP warehouses (Snowflake/BigQuery/Redshift), and OLTP systems (Postgres/MySQL).\nHands-on experience with ER/Studio, ERWin, dbt, Lucidchart, or similar modeling tools.\nSolid understanding of data governance, lineage, DQ, metadata management, and MDM.\nAbility to collaborate with cross-functional teams and communicate complex data concepts simply and clearly.\nFamiliarity with domain-driven design and semantic modeling is a strong plus.\nWe Prefer\nExperience designing data models for API-driven ecosystems, event-driven architectures, and streaming pipelines.\nKnowledge of industry data standards (Aviation, Retail. Energy etc).\nExposure to graph modeling, ontology design, or knowledge graph concepts.\nWorking knowledge of modern data catalogs (DataHub, OpenMetadata, Collibra).\nArchitectural Knowledge\nStrong knowledge of:Event-driven architecture\nCDC patterns\nLakehouse vs Data Warehouse principles\nSemantic layers and API-based data access\nMulti-zone data modeling (bronze/silver/gold)\nHigh-performance partitioning & file layout design\nStreaming vs micro-batching vs ELT","description_format":"text","description_chars":2734,"description_truncated":false,"requirements":{"experience_years_min":9,"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":"2026-09-25T21:44:05Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.272,"p_room":0.28,"age_days":193,"expected_fill_days":52,"reasons":["conf:70","velocity","win:tail","crowd:"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/waisl-limited-data-platform-architect-2","json_url":"https://alion.io/job/waisl-limited-data-platform-architect-2.json","meta":{"generated_at":"2026-10-03T00:42:12Z","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":345,"day_limit":5000,"remaining_today":4655,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}