Overview
Hybrid4 days onsite
$160,000 - $180,000
Full Time
Skills
Power BI
DAX
Qlikview
Job Details
DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.
We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.
Position: Power BI Architect
Location: NYC, NY
Full time, Hybrid
Role Summary
We are looking for a Power BI Architect to design, implement, and govern our enterprise BI and analytics platform. The ideal candidate is strong in dashboard/report development, data modeling, and visualization best practices, with experience working closely with business stakeholders. Experience in QlikView is a strong plus.
Key Responsibilities
- Architecture & Design
- Define and own the end-to-end Power BI architecture (dataflows, datasets, reports, workspaces, gateways).
- Design semantic models and star schemas optimized for self-service BI and performance.
- Establish governance, security, and compliance standards for BI content (RLS, workspace strategy, naming conventions).
- Dashboard & Report Development
- Lead the design and development of interactive, visually compelling dashboards and operational reports in Power BI.
- Translate business requirements and KPIs into intuitive visualizations and drill-down/summary views.
- Ensure best practices in layout, usability, performance, and mobile-friendly reporting.
- Data & Integration
- Work with data engineers to define and optimize ETL/ELT pipelines feeding Power BI (SQL, data warehouse, data lake).
- Optimize data models and queries for high performance and large data volumes.
- Integrate data from multiple sources: SQL Server, Excel, flat files, cloud sources, APIs, etc.
- Stakeholder Management
- Partner with business leaders, product owners, and analysts to understand reporting needs and prioritize roadmap.
- Conduct requirements workshops, POCs, and demos.
- Train and mentor power users and analysts on self-service BI capabilities and standards.
- Governance & Best Practices
- Define and enforce Power BI development standards, version control, and deployment processes (Dev/Test/Prod).
- Implement monitoring and usage analytics to track adoption and optimize content.
- Drive data quality, consistency of metrics, and a single source of truth across the organization.
Must-Have Skills & Experience
- Technical
- Strong hands-on expertise in Power BI Desktop and Power BI Service.
- Advanced DAX and Power Query (M) skills.
- Solid experience with data modeling, dimensional modeling, and performance tuning.
- Strong SQL skills and working experience with at least one major RDBMS (e.g., SQL Server, Oracle, PostgreSQL).
- Experience implementing Row-Level Security (RLS) and workspace/security models.
- Architectural / Enterprise
- Experience designing enterprise BI architectures with multiple environments (Dev/UAT/Prod).
- Knowledge of data warehousing concepts and architectures (Kimball/Inmon, star/snowflake schemas).
- Exposure to cloud data platforms (Azure preferred: Azure SQL, Synapse, Data Lake, Fabric, etc.).
- Soft Skills
- Excellent communication skills; ability to translate technical concepts into business language.
- Strong stakeholder management and requirements gathering experience.
- Ability to lead and mentor junior developers and analysts.
Good to Have (QlikView & Others)
- Hands-on experience with QlikView (and/or Qlik Sense):
- Building dashboards, charts, and reports in Qlik.
- Understanding of Qlik scripting and data modeling.
- Experience in migrating reports from QlikView to Power BI (nice plus).
- Experience with other visualization tools (Tableau, etc.) is an advantage.
- Familiarity with CI/CD for Power BI (e.g., using Azure DevOps).
- Knowledge of Python/R for advanced analytics is a plus.
If you aren t interested, perhaps you know an excellent referral?
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