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Data Architect Manager

360training
Remote, USA
Full-time
Senior Level
Remote
Discovered 1 months ago

Full Job Posting

  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.
  • Establish practical patterns for ingestion, transformation, medallion-style data layers, data quality, lineage, governance, security, testing, and consumption.
  • Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired-company data without creating brittle one-off solutions.
  • Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent-based workflows.
  • Move business logic, metric definitions, and reusable transformations into governed, version-controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
  • Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.
  • 7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data-platform delivery.
  • Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
  • Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
  • Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
  • Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
  • Experience preparing enterprise data for AI-enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent-based workflows.
  • Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
  • Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
  • Ability to lead technical execution while communicating clearly with business and technology stakeholders.
  • Hands-on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.
  • Competitive salary and annual bonus
  • Flexible time off and company recognized holidays
  • 401k Pension Plan with company match contributions
  • Short-Term and Long-Term Disability
  • Life Insurance- Basic, Voluntary, and AD&D
  • Healthcare- Medical, Dental, Vision, and MDLive
  • Flexible spending & Health Savings Accounts (HSA)

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