{"id":1675709,"url":"https://alion.io/job/black-diamond-group-manager-data-architecture","title":"Manager, Data Architecture","company":{"id":2505833,"name":"Black Diamond Group","domain":"blackdiamondgroup.com","url":"https://alion.io/company/blackdiamondgroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Calgary, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":147000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":159},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Embeddings","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"C#","optional":true},{"name":"GitHub","optional":true},{"name":"Master Data Management","optional":true},{"name":"PowerShell","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-05T01:38:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Black Diamond Group owns and operates a portfolio of businesses specializing in modular buildings and remote and temporary workforce housing solutions, along with a digital marketplace for business-to-business crew travel management. We create value by providing differentiated solutions. We believe each customer and each project is unique and that we can tailor a combination of products and services that deliver an enhanced outcome. Our Way is to Create a Better Way - this is our challenge, our call to action, our why!\nWe believe that a clear strategic vision, with measurable objectives, along with disciplined accountability and data-based decision-making leads to successful outcomes. When we couple this approach with our values-driven, collaborative, safety conscious culture, we achieve top decile performance, deliver results, and have fun while doing it!\nWe offer careers, not jobs, and we strive for an environment where the best people come to work and feel rewarded for their contributions. We are a team of the best and the brightest in industry, and since our inception, we have led with a people-first approach. We give our employees ample opportunity to pursue their interests and passions and support them as their careers progress.\nBlack Diamond Group’s AI and Business Automation department has a full-time position for Manager, Data Architecture position.\nReporting to the GM, AI & Business Automation, theManager, Data Architecture leads the hands-on development and evolution of its enterprise DataHub and data architecture. This is a senior individual-contributor role combining architecture leadership with direct technical delivery. Approximately 75% of the role will be hands-on, including data modelling, SQL development, pipeline development, integration design, testing, deployment, troubleshooting, and technical documentation.\nBlack Diamond Group currently operates an Azure SQL-based DataHub within the Microsoft technology ecosystem. The successful candidate will strengthen the existing platform, mature the organization’s medallion architecture, deliver trusted enterprise data products, and assess the appropriate future use of Microsoft Fabric and related technologies.\nThe role will initially operate as the primary internal technical lead for the DataHub. It will work closely with business stakeholders, application owners, analysts, vendors, and implementation partners while establishing standards that can support an expanded data team over time.\nThe ideal candidate we're looking for is a collaborative data leader who is passionate about building scalable, well-governed data solutions that enable better reporting, automation, and AI-driven decision making. This person enjoys balancing strategy with hands-on problem solving, mentoring a team, and partnering across the business to drive meaningful transformation.\nThis role is hybrid - in-office with 20% flexibility to work from home.\nResponsibilities\nData Platform Development\nDesign, build, test, deploy, and support enterprise data solutions.\nDevelop and maintain data ingestion, transformation, reconciliation, and publishing processes.\nWrite and review production SQL, stored procedures, views, data transformations, and validation rules.\nEstablish reusable patterns for onboarding new data sources.\nImprove monitoring, logging, error handling, restartability, testing, and operational support.\nTroubleshoot issues across source applications, integrations, the DataHub, semantic models, reports, and downstream solutions.\nReduce reliance on manual extracts, spreadsheet-based transformations, duplicated logic, and unsupported data processes.\nEnsure production solutions are maintained under source control, documented, and supportable by resources other than the original developer.\nData Architecture and Modelling\nLead the implementation and maturation of intake, bronze, silver, and gold data layers.\nDefine standards for data quality, traceability, reconciliation, security, and promotion between layers.\nDesign relational, dimensional, canonical, and semantic data models.\nIdentify authoritative data sources and establish consistent definitions for critical business information.\nDefine where transformations and business rules should reside across source applications, integration services, the DataHub, Power BI, and downstream solutions.\nMaintain architecture diagrams, source-to-target mappings, data flows, data models, and technical decision records.\nEstablish practical approaches for historical data, incremental processing, schema changes, reference data, and data-quality exceptions.\nSupport the progressive unification of customer, asset, project and contract, vendor, and employee data.\nEnterprise Integration and Data Products\nDesign and improve data integrations across enterprise applications and external data sources.\nWork with platforms including NetSuite, Salesforce, Boomi, Oracle EPM, SuccessFactors, ADP, Power BI, and operational systems.\nEstablish reusable integration and data-exchange patterns.\nResolve inconsistent identifiers, data definitions, and business rules across systems.\nEnsure integrations include appropriate validation, reconciliation, monitoring, security, and supportability.\nDevelop trusted and reusable data products for reporting, analytics, automation, and operational use.\nDesign and support dimensional models and Power BI semantic models.\nCentralize important measures, dimensions, and business definitions where practical.\nWork with business stakeholders to translate reporting and analytical requirements into maintainable technical solutions.\nPlatform Evolution and AI Enablement\nStrengthen and mature the existing Azure SQL-based DataHub.\nAssess the appropriate phased use of Microsoft Fabric and related Microsoft services.\nRecommend platform changes based on business value, scalability, cost, security, supportability, and complexity.\nEstablish practical development, testing, deployment, security, and monitoring standards.\nDesign secure methods for AI-enabled solutions to access structured and unstructured enterprise data.\nSupport technologies and patterns such as retrieval-augmented generation, semantic search, embeddings, vector search, and controlled AI-agent access.\nHelp move approved AI use cases from prototype into secure and supportable production use.\nEnsure appropriate controls for confidential, employee, financial, personal, and commercially sensitive information.\nProvide technical architecture advice supporting Black Diamond Group’s AI governance processes.\nTechnical Leadership\nOperate effectively as the initial standalone technical lead for the DataHub.\nProvide technical direction to vendors, consultants, analysts, developers, and application specialists.\nReview technical designs, code, estimates, documentation, and vendor deliverables.\nEstablish standards and patterns that future team members can adopt.\nMentor internal resources as the data capability expands.\nRecommend future data-platform resource requirements as organizational needs mature.\nCommunicate technical risks, recommendations, priorities, and trade-offs clearly to senior leaders and business stakeholders.\nEnsure important technical and operational knowledge remains within Black Diamond Group.\nQualifications\nSignificant experience designing and delivering enterprise data platforms.\nRecent hands-on experience building production data pipelines, integrations, transformations, and data models.\nAdvanced SQL skills.\nStrong experience with Azure SQL Server or another enterprise relational data platform.\nExperience with data warehouse, DataHub, lakehouse, or medallion architecture.\nStrong relational and dimensional data-modelling skills.\nExperience integrating enterprise applications through APIs, files, integration platforms, and incremental processing.\nExperience implementing data validation, reconciliation, monitoring, logging, error handling, and automated testing.\nExperience with enterprise reporting and semantic models, preferably Power BI.\nPractical experience supporting analytics, automation, or AI solutions using governed enterprise data.\nExperience applying source control, deployment, and production-support practices to data solutions.\nAbility to independently move from business requirements through design, development, deployment, and support.\nStrong technical communication and documentation skills.\nPreferred Qualifications\nExperience with several of the following would be beneficial:\nMicrosoft Fabric\nAzure Data Factory or Fabric Data Factory\nPower BI semantic models\nBoomi or another enterprise integration platform\nMicrosoft Purview\nAzure Functions or Logic Apps\nAzure DevOps, GitHub, and deployment automation\nPython, PowerShell, C#, or PySpark\nRetrieval-augmented generation, semantic search, embeddings, or AI agents\nNetSuite\nSalesforce\nOracle EPM\nSuccessFactors\nADP\nMaster data management or entity resolution\nPublic-company control, audit, security, or governance environments\nA bachelor’s degree in computer science, engineering, information systems, data management, or a related discipline is preferred. Equivalent professional experience will also be considered.\nFor more information, please visit www.BlackDiamondGroup.com\nWe are an Equal Opportunity Employer\nBlack Diamond Group Limited is committed to diversity, equal opportunity and ensuring that our employees have the ability to thrive in an inclusive environment. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, national origin, age, disability or any other legally-protected factors. Accommodation for applicants with disabilities is available upon request during the recruitment process.\nCompany: Black Diamond Group","description_format":"text","description_chars":9869,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Travel & Tourism","Business Travel"],"lifecycle":[{"event":"open","at":"2026-10-02T08:27:37Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":30,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/black-diamond-group-manager-data-architecture","json_url":"https://alion.io/job/black-diamond-group-manager-data-architecture.json","meta":{"generated_at":"2026-10-05T03:13:41Z","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":4405,"day_limit":5000,"remaining_today":595,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}