{"id":188061,"url":"https://alion.io/job/avepoint-data-architect-managed-services","title":"Data Architect (Managed Services)","company":{"id":95172,"name":"AvePoint","domain":"avepoint.com","url":"https://alion.io/company/avepoint-us","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":276,"ghost_share":0.257,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":150,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":136000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":691},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Doris","optional":false},{"name":"Apache HTTP Server","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Data Vault","optional":false},{"name":"DataStage","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GDPR","optional":false},{"name":"Greenplum","optional":false},{"name":"Hadoop","optional":false},{"name":"Informatica","optional":false},{"name":"Master Data Management","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"Superset","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false},{"name":"Teradata","optional":false},{"name":"Vertica","optional":false},{"name":"ZooKeeper","optional":false}],"status":"live","first_seen_at":"2026-06-26T05:22:52Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-17T23:16:38Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":112},"description":"ROLE OVERVIEW\nWe are looking for a seasoned Data Architect with deep expertise in enterprise data warehousing, ETL/ELT pipeline development, and business intelligence. You will be responsible for the end-to-end design and implementation of our data architecture - from data ingestion and cleansing to dimensional modeling, warehouse construction, and BI dashboard delivery. You will also establish robust data governance frameworks including data catalogs, lineage tracking, and security audit systems. This role requires strong hands-on capability combined with architectural vision, and prior experience in complex industries such as finance, international trade, or manufacturing is highly valued.\nKEY RESPONSIBILITIES\nData Acquisition, Cleansing & Integration\nDesign and implement enterprise-wide data collection strategies across heterogeneous source systems (ETRM, ERP, CRM, external APIs, flat files, and databases).\nDevelop robust data cleansing and standardization pipelines to ensure data accuracy, consistency, and completeness across all data sources.\nBuild data integration frameworks to consolidate data from disparate systems into a unified enterprise data warehouse, handling schema evolution and data drift.\nImplement Change Data Capture (CDC) mechanisms and incremental data loading strategies to ensure near real-time data freshness.\nData Warehouse Architecture & Modeling\nLead the design and construction of the enterprise data warehouse (EDW) using industry-proven methodologies (Inmon, Kimball, or Data Vault).\nApply dimensional modeling expertise to design star schemas, snowflake schemas, and constellation models optimized for analytical query performance.\narchitect data marts for specific business domains (finance, sales, supply chain, operations) with clear separation of concerns.\nSelect and implement appropriate data warehouse technologies based on workload characteristics: batch analytics (Hive, Spark SQL), real-time analytics (ClickHouse, Apache Doris, StarRocks), or MPP databases (Greenplum, Vertica).\nDesign layered data architectures (ODS → DWD → DWS → ADS / Bronze → Silver → Gold) with clear data flow and transformation logic at each layer.\nETL/ELT Pipeline Development\nDesign, build, and maintain scalable ETL/ELT pipelines using Apache Spark, Flink, Hive, MapReduce, or proprietary ETL tools (Informatica, Talend, Kettle).\nImplement workflow orchestration using Apache Airflow, DolphinScheduler, Azkaban, or Oozie to schedule, monitor, and manage data pipelines.\nEstablish data quality frameworks: automated validation rules, anomaly detection, data profiling, and quality scorecards to ensure pipeline reliability and data trustworthiness.\nBuild comprehensive monitoring and alerting systems for pipeline health, data freshness, and SLA compliance.\nOptimize pipeline performance through partitioning, bucketing, indexing, and query tuning strategies.\nBusiness Intelligence & Reporting\nDevelop enterprise BI reporting systems and interactive dashboards using tools such as Apache Superset, FineBI, Tableau, Power BI, or Quick BI.\nDesign executive dashboards, operational reports, and self-service analytics interfaces tailored to business stakeholders across finance, trading, operations, and management.\nImplement metrics frameworks (KPIs, OKRs) and ensure data definitions are standardized, documented, and consistently applied across all reports.\nWork directly with business units to understand analytical requirements and translate them into effective data models and visualizations.\nData Governance & Standards\nDesign and implement enterprise data governance frameworks from the ground up, including data ownership policies, stewardship roles, and governance workflows.\nBuild a centralized data catalog (using Apache Atlas, DataHub, Amundsen, or similar) documenting all data assets, business glossaries, and metadata.\nImplement data lineage analysis systems to track data flow from source to consumption, enabling impact analysis and root cause diagnosis.\nEstablish data security and audit frameworks: access control (RBAC/ABAC), data masking, encryption policies, sensitive data discovery, and compliance audit trails.\nDefine and enforce data standards: naming conventions, data dictionaries, master data management (MDM) rules, and data quality SLAs.\nEnsure regulatory compliance with data protection laws (GDPR, PIPL, industry-specific regulations) through governance controls and documentation.\nREQUIRED QUALIFICATIONS\nBachelor's degree or above in Computer Science, Statistics, Mathematics, Information Systems, or related technical field.\n3+ years of professional experience in data development, data engineering, or data architecture roles, with a proven track record of building production data warehouse systems.\nExpert-level proficiency in SQL (complex queries, window functions, CTEs, query optimization) and Python for data processing and pipeline development.\nMastery of data warehouse modeling theories and methodologies: dimensional modeling (Kimball), normalized modeling (Inmon), and Data Vault 2.0. Demonstrated experience designing star schemas, snowflake schemas, and aggregate tables for complex business domains.\nDeep domain experience in at least one complex industry: financial services (banking, securities, insurance), international trade (import/export, supply chain, logistics), or manufacturing (production planning, quality control, industrial IoT). Understanding of industry-specific data entities, business processes, and analytical requirements.\nStrong hands-on experience with ETL/ELT tools and frameworks: Apache Spark (batch and streaming), Apache Flink, Hive, MapReduce, Sqoop, DataX, SeaTunnel, or commercial ETL platforms (Informatica PowerCenter, Talend, IBM DataStage).\nProficiency in workflow orchestration: Apache Airflow, DolphinScheduler, Azkaban, Oozie, or equivalent scheduling and monitoring platforms.\nProduction experience with at least one major data warehouse/analytics database: ClickHouse, Apache Doris, StarRocks, Hive, Greenplum, Vertica, Teradata, or Snowflake.\nStrong hands-on experience with BI and visualization tools: Apache Superset, FineBI, Tableau, Power BI, Quick BI, or similar enterprise BI platforms.\nDeep expertise in Data Governance with demonstrated ability to build governance systems from scratch: data catalog implementation, metadata management, automated lineage tracking (using OpenLineage, Marquez, or similar), data quality monitoring, and security audit frameworks.\nSolid understanding of relational and analytical databases: PostgreSQL, MySQL, Oracle, SQL Server, Greenplum - including performance tuning, indexing strategies, and query optimization.\nExperience with big data ecosystem components: HDFS, YARN, ZooKeeper, Kafka, and Hadoop distributions (CDH, HDP, Apache).\nPREFERRED QUALIFICATIONS\nExperience with master data management (MDM) platforms and methodologies.\nFamiliarity with data mesh or data fabric architectural patterns for large-scale decentralized data environments.\nExperience with data versioning and time-travel capabilities in modern data warehouses.\nDomain knowledge on Energy Trading, Market Risk Management.\nProfessional certifications: CDMP (Certified Data Management Professional), DAMA-DMBOK, or vendor-specific data platform certifications.\nAny personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.","description_format":"text","description_chars":7471,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Data Governance & Catalogs","Security Compliance","Backup & Disaster Recovery"],"lifecycle":[{"event":"open","at":"2026-09-02T01:48:41Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.831,"p_room":0.6,"age_days":113,"expected_fill_days":150,"reasons":["conf:1","velocity","win:late","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/avepoint-data-architect-managed-services","json_url":"https://alion.io/job/avepoint-data-architect-managed-services.json","meta":{"generated_at":"2026-10-18T00:39:40Z","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":1152,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":95172},"rest":"https://alion.io/mcp/rest/get_company?id=95172"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Favepoint-data-architect-managed-services"},{"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%2Favepoint-data-architect-managed-services"},{"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%2Favepoint-data-architect-managed-services"},{"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/avepoint-data-architect-managed-services\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Favepoint-data-architect-managed-services"}]}