Project manger with Data Management

Siri InfoSolutions Inc
Bellevue, WA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Data Governance Data Infrastructure Extract Transform Load (ETL) Data Transformation Python (Programming Language) Microsoft SQL Server Power BI SQL Stored Procedures Unstructured Data Azure Data Factory Microsoft Fabric
+4 more
Pyspark Data Management Azure Synapse Analytics Data Pipelines

Job description

Design, develop, and maintain scalable data pipelines using Azure Data Factory and related services.

Implement and optimize ETL workflows for structured and unstructured data across multiple sources.

Write and manage complex SQL stored procedures, table scripts, and data transformations.

Build and maintain analytical models and views in Microsoft Fabric for enterprise reporting.

Develop and support Power BI dashboards ensuring accurate and timely insights.

Collaborate with cross-functional teams to ensure data quality, security, and compliance.

Drive continuous improvement in data processes to enhance performance and reliability.

Requirements

SQL Server; ADF; Fabric; Power BI; Python/PySpark; Azure; Program management, Experience in data platform technologies with a good understanding of onboarding data sources, data pipeline knowledge

Technical understanding on one or more of the following of Azure Data Engineering stack: Azure Fabric, Data Factory, Microsoft Purview, and Azure Synapse,

Data governance is desirable but not mandatory.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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