{"id":955644,"url":"https://alion.io/job/indigo-beam-data-architect-ai-and-data-practice","title":"Data Architect, AI and Data Practice","company":{"id":689717,"name":"Indigo Beam","domain":"indigobeam.com","url":"https://alion.io/company/indigobeam","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-11-08T05:47:12Z"}},"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":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-11-08T08:56:05Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":76},"description":"Overview This is a dual mandate role at the ground floor of our combined AI and Data practice. From day one you will be hands on and billable on classic data work: reporting, dashboards and data warehouse engagements for mid-market clients. As our AI offerings expand, the same role grows into the technical half of our semantic delivery pair: building the semantic models, business ontologies and governed data foundations that make AI agents trustworthy, alongside a senior functional consultant who runs the business workshops. You should want both halves. The reporting and warehouse work is not a holding pattern; it is where client trust and the follow-on AI work come from. What you will do firstDesign and build data warehouse and lakehouse solutions: dimensional modeling, ELT pipelines, performance tuning.\nDeliver reporting and BI: Power BI datasets, DAX, tabular semantic models, report and dashboard development.\nWork directly with client stakeholders to turn loosely stated reporting needs into governed, documented models.\nOwn engagements end to end on small teams: architecture through hands-on build through handover. Where the role grows\nBuild agent-ready semantic layers: Microsoft Fabric semantic models and Fabric IQ ontologies (entities, relationships, rules) grounded in definitions agreed with the business.\nCarry governance through to agents with Microsoft Purview and Entra ID: sensitivity labels, permissions and row level security that agents inherit.\nStand up and validate data agents (Fabric data agents, Copilot Studio) against eval suites of known-correct business questions.\nHelp shape reusable method and accelerators as we productize these offerings.\nRequirements\nAt least 15 years of industry experience, including at least 10 years in data and analytics and at least 10 years in consulting or client delivery roles.\nCurrent Microsoft data platform certifications, at minimum DP-600 (Fabric Analytics Engineer) or PL-300 (Power BI Data Analyst); DP-700 (Fabric Data Engineer) is a plus. These also count toward our Microsoft partner designations.\nStrong SQL and dimensional modeling fundamentals, with production data warehouse delivery experience.\nDeep Power BI: DAX, tabular model design, workspace governance, deployment practices.\nMicrosoft data platform experience: Fabric or Synapse, Azure Data Factory or equivalent pipeline tooling, OneLake or lakehouse patterns.\nExperience outside the Microsoft stack, because our clients run mixed estates. Meaningful exposure to at least one of: Snowflake, Databricks, Oracle, AWS analytics services (Redshift, Glue, S3), or dbt.\nConsulting temperament: comfortable in front of clients, able to run a working session, write things down, and manage more than one engagement at a time. Nice to have\nFabric IQ, semantic layer tooling (dbt Semantic Layer, Cube, AtScale), or knowledge graph and ontology experience.\nExposure to AI agent tooling: Copilot Studio, Azure AI Foundry, MCP, or LLM evaluation practices.\n• Esri ArcGIS or GIS data experience, given our geospatial practice. Why this role? You join at the start of a practice, not the middle of one. The path from this seat is toward the lead semantic architect role as the AI offerings scale, with direct influence on how the offerings, accelerators and standards get built. Small senior teams, no delivery pyramid, and clients who deal with the person doing the work.","description_format":"text","description_chars":3404,"description_truncated":false,"requirements":{"experience_years_min":15,"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":["Design & Creative"],"lifecycle":[{"event":"open","at":"2026-09-16T05:30:06Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 9 · green card filings: 5","filings_12m":9,"filings_prev_12m":3,"green_card_filings_12m":5,"median_offered_wage_usd":133929,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.726,"p_room":0.44,"age_days":76,"expected_fill_days":62,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/indigo-beam-data-architect-ai-and-data-practice","json_url":"https://alion.io/job/indigo-beam-data-architect-ai-and-data-practice.json","meta":{"generated_at":"2026-11-08T09:52:33Z","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":21355,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":689717},"rest":"https://alion.io/mcp/rest/get_company?id=689717"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Findigo-beam-data-architect-ai-and-data-practice"},{"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%2Findigo-beam-data-architect-ai-and-data-practice"},{"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%2Findigo-beam-data-architect-ai-and-data-practice"},{"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/indigo-beam-data-architect-ai-and-data-practice\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Findigo-beam-data-architect-ai-and-data-practice"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":955644}},{"tool":"search_jobs","arguments":{"company":"indigobeam.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":955644},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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