Lead Analytics Architect/Engineer
*NO C2CLocation: Remote – USA (100% Remote)
Employment Type: Permanent, Full-Time
Industry: Enterprise Technology / Data & Analytics
Salary: Competitive, dependent on experience
The Opportunity:
Taskr Global is partnering with an established US-based organisation seeking an experienced Lead Analytics Architect & Analytics Engineer to take ownership of its enterprise analytics architecture, with a particular focus on Power BI, Azure Databricks and modern data platforms. This is an excellent opportunity for a technically strong analytics professional who enjoys combining hands-on engineering with architectural leadership. You'll play a central role in developing a scalable, governed analytics environment, ensuring business-critical data is accurate, accessible and consistently structured across the organisation. The position offers significant technical ownership, the opportunity to influence enterprise-wide data strategy, and close collaboration with senior stakeholders, data engineers and business intelligence teams. This is a fully remote position, open to candidates based anywhere within the United States.
Key Responsibilities
Analytics Architecture & Data Engineering:
Lead the architecture, development and ongoing optimisation of enterprise Power BI semantic models.
Design and build curated analytical datasets, tables and views within Azure Databricks.
Translate business requirements and KPI definitions into scalable SQL transformations and reusable data models.
Develop dimensional models, DAX measures, calculation groups and optimised data relationships.
Establish best practices for data modelling, performance, scalability and maintainability.
Databricks, Power BI & Microsoft Fabric:
Develop, maintain and optimise SQL-based transformations within Azure Databricks.
Work with Delta Lake, Microsoft Fabric, OneLake and modern lakehouse architecture.
Design effective integration patterns across Direct Lake, Import and DirectQuery.
Improve semantic model performance, refresh strategies and platform reliability.
Support the development of reusable, enterprise-wide analytical data products.
Data Governance, Quality & Security:
Establish standards for data modelling, KPI definitions, documentation and governance.
Implement data validation, reconciliation and quality assurance processes.
Maintain appropriate security controls, including row-level and object-level security (RLS/OLS).Support data lineage, access management and audit requirements.
Ensure consistency and accuracy between source systems and reporting environments.
Technical Leadership & Collaboration:
Provide technical direction and architectural guidance to BI developers, analysts and data engineering teams.
Lead design reviews and establish reusable development standards.
Work closely with Finance, IT, ERP and wider business stakeholders to understand analytical requirements.
Troubleshoot complex issues involving SQL, DAX, data transformations, integrations and model performance.
Develop technical documentation, architecture standards and best-practice guidance.
Required Experience:
- We're interested in speaking with candidates who can demonstrate:8+ years' experience across Business Intelligence, Analytics Engineering, Data Architecture or related disciplines.
- Extensive hands-on experience with Microsoft Power BI, including enterprise semantic model design and administration.
- Strong expertise in Azure Databricks, Delta Lake and SQL-based data transformations.
- Advanced SQL skills, including developing, testing and optimising complex transformations.
- Expert knowledge of DAX, dimensional modelling, tabular models and performance optimisation.
- Experience with Microsoft Fabric, OneLake, Direct Lake, Import and DirectQuery.
- A strong understanding of lakehouse architecture, medallion patterns and reusable data products.
- Experience establishing data governance, quality, security and deployment standards.
- Knowledge of version control, automated testing, deployment processes and platform monitoring.
- Proven ability to lead technical architecture decisions and communicate effectively with both technical and non-technical stakeholders.
- Experience troubleshooting complex data-quality, integration, semantic-model and refresh issues.
- Desirable Experience
- The following would be advantageous:
- Experience working with ERP data and enterprise finance, manufacturing, logistics or supply chain systems.
- Microsoft Power BI, Fabric or Azure certifications.
- Experience with Microsoft Purview and Unity Catalog.
- Familiarity with Power BI and Fabric APIs, scripting and automation.
- Experience with infrastructure as code and enterprise deployment practices.
- Knowledge of data cataloguing, metadata management and advanced platform governance.
- Previous experience providing technical leadership or mentoring BI and Analytics Engineers.
- What Makes This Opportunity Attractive?100% remote working across the USA.Ownership of enterprise-wide Power BI semantic architecture and Databricks analytics engineering.
- Opportunity to shape technical standards, architecture and data governance.
- Modern Microsoft data technology stack, including Power BI, Databricks and Fabric.
- A hands-on technical leadership position rather than a purely managerial role.
- Exposure to complex enterprise data environments and senior business stakeholders.
- The opportunity to build scalable, reusable analytics solutions with long-term business impact.
Interested?
If you're an experienced Analytics Architect, BI Architect or Lead Analytics Engineer with strong Power BI and Databricks expertise, we'd be keen to hear from you.
Apply today or contact Taskr Global for a confidential discussion about the opportunity.
Taskr Global is acting as a recruitment agency in relation to this permanent opportunity.