{"id":988922,"url":"https://alion.io/job/cim-group-director-information-architect","title":"Director, Information Architect","company":{"id":707107,"name":"CIM Group","domain":"cimgroup.com","url":"https://alion.io/company/cim-group","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":93,"open_postings":20,"ghost_share":0,"stale_share":0.1,"repost_share":0,"time_to_fill_p50_days":118,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":315000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-02-26T01:38:26Z","employer_posted_date":"2026-02-26","last_verified_at":"2026-11-09T13:28:58Z","board_verified":true,"closed_at":null,"days_open":256,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":256},"description":"POSITION PURPOSE:\nThe Senior Information Architect will be responsible for designing, developing, and maintaining scalable, efficient, and well-documented data models that support analytical, operational, and reporting needs across CIM's $35B+ portfolio spanning real estate equity, infrastructure, and private credit investments.\nThis role will establish data modeling standards and techniques from the ground up, developing and managing detailed data models deployed across Databricks Lakehouse as the primary platform, with integration to Snowflake and MongoDB for specific use cases. The Senior Information Architect will play a foundational role in building enterprise data architecture capabilities where mature standards do not yet exist.\nThis highly collaborative role requires extensive partnership with business stakeholders across Fund Accounting, FP&A, Investor Relations, Sales, and Investments teams to understand data requirements and translate them into robust, high-performing data models. The Senior Information Architect will shape the enterprise data landscape, supporting analytics, governance, and operational data needs across Azure and modern data ecosystems.\nRESPONSIBILITIES:\nBusiness Partnership & Requirements Gathering\nPartners extensively with business stakeholders across Fund Accounting, FP&A, Global Client Group, and Investments teams to understand data requirements, pain points, and use cases.\nTranslate complex business requirements into robust data models, asking questions first before proposing solutions to ensure alignment with actual business needs.\nCollaborate with data analysts, data scientists, MLOps engineers, and application developers to understand technical requirements and ensure models support downstream use cases.\nBuild trust and influence across teams by demonstrating business value and explaining technical constraints in accessible terms.\nData Model Design & Development\nDesign and develop conceptual, logical, and physical data models for various data initiatives, including data warehouses, data lakes, operational data stores, and transactional systems.\nSpecialize in designing highly optimized dimensional models (star schemas, snowflake schemas) for analytical reporting and business intelligence applications.\nApply various data modeling techniques as appropriate: Dimensional Modeling (Kimball), 3NF (Inmon), Data Vault, and NoSQL modeling patterns.\nDatabricks Lakehouse Architecture\nDesign and implement medallion architecture (bronze/silver/gold) patterns within the Databricks Lakehouse, establishing standards where none currently exist.\nOptimize data models leveraging Delta Lake features including ACID transactions, time travel, schema evolution, Z-ordering, and liquid clustering.\nDesign partitioning strategies that balance query performance with file management, avoiding over-partitioning while enabling partition pruning.\nImplement Unity Catalog namespace hierarchy (catalog, schema, table) for multi-domain, multi-environment data organization and governance.\nCollaborate with MLOps engineers on data models that support ML feature stores and GenAI/RAG applications.\nMulti-Platform Data Architecture\nDesign and maintain relational database schemas for both operational and analytical workloads within Snowflake and other RDBMS, ensuring integration with Databricks Lakehouse.\nDesign and optimize data structures for NoSQL databases (e.g., MongoDB), considering document structures, indexing, and query patterns for specific application needs.\nDevelop frameworks for deciding when data belongs in Databricks Lakehouse vs. Snowflake vs. MongoDB based on workload characteristics and use cases.\nPerformance Optimization\nProvide input and recommendations on query optimization, indexing strategies, and data partitioning based on data model design.\nDiagnose and resolve performance issues including data skew, small files problems, and inefficient join strategies in Spark/Databricks environments.\nCollaborate with database administrators and data engineers on OPTIMIZE, VACUUM, and ANALYZE strategies for Delta tables.\nETL/ELT Collaboration & Data Pipeline Design\nWork closely with Data Engineers to ensure data models are efficiently implemented and align with ETL/ELT processes using Auto Loader, Delta Live Tables, or traditional Spark jobs.\nProvide guidance on data mapping, transformation rules, schema evolution handling, and data loading strategies.\nDesign slowly changing dimension (SCD) patterns using Delta Lake MERGE operations and Change Data Feed for downstream propagation.\nData Governance & Standards\nEstablish and enforce data modeling standards, naming conventions, metadata management, and data governance policies-building these foundations where they do not currently exist.\nImplement row-level and column-level security patterns using Unity Catalog for sensitive fund and investor data.\nChampion best practices for data protection, including encryption and access controls, to safeguard sensitive information.\nDesign and maintain data lineage tracking from source systems through bronze/silver/gold layers to final reports.\nContribute to the development and maintenance of a comprehensive data dictionary and metadata repository.\nCollaborate to define and implement robust data quality standards, ensuring all analytical models are built on a foundation of reliable data.\nOperate within compliance framework to ensure ethical data handling, regulatory compliance, and consistency across the enterprise.\nData Classification & Access Management: Define and maintain an enterprise data classification scheme and role-/attribute-based access model, ensuring sensitive and confidential data is identified, tagged, and protected across relational, NoSQL, and Lakehouse platforms.\nPrivacy by Design: Embed privacy controls into data models and pipelines-including handling of PII/sensitive data, data minimization, masking/tokenization, and retention and deletion requirements.\nRegulatory Compliance: Partner with Security, Legal, and Compliance to translate applicable regulatory and contractual obligations into enforceable data controls, and support audits, data lineage, and evidence requests.\nDocumentation & Knowledge Management\nCreate and maintain detailed data model documentation, including data dictionaries, entity-relationship diagrams (ERDs), data flow diagrams, and data lineage.\nDocument Lakehouse design patterns, medallion architecture implementations, and platform-specific best practices for team knowledge sharing.\nContribute to data quality initiatives by identifying potential data quality issues at the modeling stage and collaborating on solutions.\nEDUCATION/EXPERIENCE REQUIREMENTS: (including certification, licenses, etc.)\nRequired:\nBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.\n10+ years of dedicated experience as a Data Modeler or Data Architect.\nExtensive experience with various data modeling techniques: Dimensional Modeling (Kimball), 3NF (Inmon), Data Vault, and NoSQL modeling.\nStrong expertise in SQL and experience with advanced SQL concepts for data analysis and modeling validation.\nProficiency with data modeling tools (e.g., ER/Studio, Erwin, DataGrip, SQL Developer, or similar).\nDatabricks Platform Requirements:\nHands-on experience designing and implementing medallion architecture (bronze/silver/gold) in Databricks Lakehouse environments.\nDeep understanding of Delta Lake features: ACID transactions, time travel, schema evolution, Z-ordering, liquid clustering, and table maintenance.\nExperience with Unity Catalog for data governance, access control, and lineage tracking.\nUnderstanding Spark optimization, partitioning strategies, and performance tuning for large-scale data processing.\nFamiliarity with Databricks SQL Warehouses, Delta Live Tables, and data pipeline patterns.\nMulti-Platform Experience:\nProven experience with Databricks/Delta Lake technologies - Experience modeling data within a data Lakehouse environment (Required).\nSolid understanding of Azure Cloud Platform: Azure Data Lake Storage, Azure Databricks.\nExperience with data ingestion concepts: Kafka, Azure Event Hubs, CDC, APIs and their impact on data structure and modeling.\nPreferred:\nPrior experience within financial services, private equity, or alternative investments sectors.\nExperience building data architecture standards and practices from scratch in entrepreneurial environments.\nUnderstanding investment data structures: fund hierarchies, investor allocations, NAV calculations, capital calls/distributions.\nExperience supporting ML/AI use cases including feature engineering and data models for GenAI/RAG applications.\nDesirable Certifications:\nDatabricks Certified Data Engineer Associate or Professional.\nMicrosoft Certified: Azure Data Engineer Associate.\nMicrosoft Certified: Azure Enterprise Data Analyst Associate.\nTOGAF Certification (for enterprise architecture alignment).\nABOUT YOU:\nThe ideal candidate thrives in an entrepreneurial environment where mature processes and standards do not yet exist. You are energized by the opportunity to build data architecture foundations from scratch rather than inheriting established frameworks.\nKey Competencies:\nEntrepreneurial Mindset: Comfortable building standards, processes, and architecture where none currently exist; thrives with ambiguity and takes initiative without detailed specifications.\nBusiness Partnership Excellence: Exceptional ability to collaborate with non-technical business stakeholders in Fund Accounting, FP&A, Investor Relations, Sales, and Investments teams-listening to understand problems before proposing solutions.\nRelationship-Focused Collaboration: Proven track record of building trust and influencing without authority across diverse teams; success depends on partnership, not hierarchy.\nBusiness Value Orientation: Ties technical decisions to business outcomes; prioritizes pragmatic, value-driven solutions over architectural perfection.\nCommunication Excellence: Translates complex technical concepts into accessible terms for non-technical audiences; adapts communication style to stakeholder needs.\nSelf-Direction & Initiative: Proactively identifies gaps, proposes solutions, and drives progress without waiting for detailed direction or approval on every decision.\nContinuous Learner: Stays current with emerging data modeling techniques, Databricks platform evolution, and database technologies; recommends new approaches where appropriate.\nWhat Success Looks Like:\nBusiness teams across Fund Accounting, IR, and Investments view you as a trusted partner who understands their needs.\nData models you design are adopted, performing well, and enabling business value-not just technically elegant.\nStandards and governance frameworks you establish become the foundation for CIM's data architecture practice.\nYou effectively navigate ambiguity, making progress without needing complete requirements upfront.","description_format":"text","description_chars":10988,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate Investment","Property Development"],"lifecycle":[{"event":"open","at":"2026-09-17T01:09:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 6 · green card filings: 2","filings_12m":6,"filings_prev_12m":2,"green_card_filings_12m":2,"median_offered_wage_usd":190000,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+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":0}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.673,"p_room":0.28,"age_days":256,"expected_fill_days":118,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/cim-group-director-information-architect","json_url":"https://alion.io/job/cim-group-director-information-architect.json","meta":{"generated_at":"2026-11-09T14:37:20Z","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":20124,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":707107},"rest":"https://alion.io/mcp/rest/get_company?id=707107"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcim-group-director-information-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fcim-group-director-information-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fcim-group-director-information-architect"},{"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/cim-group-director-information-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcim-group-director-information-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":988922}},{"tool":"search_jobs","arguments":{"company":"cimgroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":988922},"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. Docs: https://alion.io/developers"}}