About The Position

Sr. Power BI Architect with Dax and SQL (Hybrid – Iselin, NJ) We are looking to hire a candidate with the skills sets mentioned and experience for one of our clients within the finance/banking services Industry. This is a 6+ months contracting role, with potential for extension. Hybrid – Iselin, NJ. Summary: The BI Architect is responsible for designing, developing, and implementing scalable and efficient Business Intelligence (BI) solutions using tools like Power BI, Tableau, and modern data platforms. This role involves working closely with stakeholders to understand business needs and translating them into actionable data insights and visualizations.

Requirements

  • At least 15 years of experience and managing large report migrations.
  • Strong Power BI, Dax, Strong in SQL and data warehousing (Must).
  • 10+ years in BI, data analytics, or data architecture roles.
  • Should have Capital Markets experience and understanding of trading, risk data (Must).
  • Experience with Cognos highly preferred.
  • Power BI: Semantic models, DAX, Paginated Reports, Q&A visual.
  • Strong SQL skills and experience with relational databases (SQL Server, PostgreSQL, Oracle).
  • Experience with ETL tools (e.g., Talend, Informatica) and data modeling (Star/Snowflake schemas).
  • Familiarity with cloud platforms (Azure, AWS, Google BigQuery).

Nice To Haves

  • Python or R for data manipulation and AI/ML integration.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management.
  • Leadership and mentoring capabilities (for senior roles).
  • Proven track record of delivering enterprise-grade BI solutions.
  • Experience with DevOps for BI (e.g., Git, ALM Toolkit, Tabular Editor).
  • Certifications in Power BI, Tableau, or Microsoft Fabric are a plus 1 2 3.

Responsibilities

  • Core BI Architecture & Development.
  • Design and implement end-to-end BI solutions using Tableau and Power BI.
  • Develop semantic models, dashboards, and reports to support business decision-making.
  • Create and maintain data models, ETL pipelines, and data warehouses.
  • Collaboration & Governance.
  • Work with cross-functional teams (finance, sales, operations) to gather requirements.
  • Implement data governance, security, and compliance frameworks.
  • Mentor junior BI developers and analysts.
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