More jobs:
Data & BI Architect/Developer; Power BI & Integration
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-03-06
Listing for:
Phaxis
Full Time
position Listed on 2026-03-06
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing
Job Description & How to Apply Below
Location: New York
Overview
We are seeking a highly skilled Data & BI Architect/Developer to design and deliver enterprise-grade reporting and data integration solutions. This role requires both architectural vision and hands‑on development skills to build scalable, high‑performance BI platforms leveraging Power BI, SQL, Oracle, and Snowflake.
Salary: 160k to 185k + bonus
Key Responsibilities- Architect and develop end‑to‑end data integration and reporting solutions across Oracle and Snowflake environments.
- Design and build advanced Power BI dashboards and reports to support executive and operational decision‑making.
- Develop scalable data models, semantic layers, and optimized SQL queries for analytics and reporting.
- Design and implement ETL/ELT workflows to integrate data from multiple internal and external sources.
- Partner with business stakeholders to gather requirements and translate them into reporting mockups and technical designs.
- Create wireframes and reporting prototypes using mockup design tools prior to development.
- Optimize performance across data pipelines, queries, and dashboards.
- Ensure adherence to data governance, security, and enterprise architecture best practices.
- Advanced experience developing dashboards and reports in Power BI.
- Strong proficiency in SQL with hands‑on experience in Oracle and Snowflake environments.
- Experience designing data models and reporting architectures.
- Hands‑on experience with data integration solutions and data transformation processes.
- Experience creating reporting mockups and collaborating with business stakeholders to refine requirements.
- Ability to operate at both the architecture and hands‑on development levels.
- Experience with cloud‑based data platforms and modern data warehousing concepts.
- Knowledge of dimensional modeling and performance tuning.
- Experience in large‑scale enterprise data environments.
- Familiarity with BI governance and data quality frameworks.
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