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This is an opportunity to join a growing business in the Engineering and Manufacturing space and take ownership of the full Power BI lifecycle. In this role you will connect to sources, shape data with Power Query/M, build star-schema models, write advanced DAX, design visuals, and publish to the Service.



Candidates must be able to demonstrate strong experience in such roles prior to this one. Candidates will also be expected to demonstrate experience with:

* Building and maintaining enterprise-grade ETL pipelines with SSIS, Azure Data Factory, or similar to feed a data warehouse / data lake.
* Designing scalable tabular / SSAS models and implementing row-level security on large datasets.
* Optimizing report and query performance on high-volume platforms such as Snowflake or SQL Server.
* Administering workspaces, gateways, scheduled refresh, and usage monitoring in Power BI Service.
* Extending solutions with the wider Microsoft stack (Power Apps, Power Automate, Azure Data Lake) for end-to-end analytics workflows.



Must-have technical skills

* Prior experience developing enterprise Power BI solutions.
* Expert DAX and M query; creating complex KPIs and time-intelligence measures.
* Strong SQL (T-SQL, Snowflake SQL) and performance tuning.
* Hands-on experience with SSIS or Azure Data Factory ETL workflows.
* Proven ability to model data in star / snowflake schemas and secure it with RLS.
* Experience managing Power BI gateways, incremental refresh, and CI/CD of BI assets (DevOps or Git).

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.

Working with a household name in the retail space, they are seeking a Data Architect who can lead the shaping, and delivery, of the next generation of the organizations enterprise data platform. This is a hands-on role focused on designing, building, and optimizing scalable cloud data solutions that support analytics, reporting, and decision-making across the business.

Candidates must be able to demonstrate:

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Strong proficiency in Azure services (specifically Data) - including, but not limited to, areas such as:

* Microsoft Fabric
* Azure Data Factory
* Azure SQL Database
* SQL Managed Instance

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Advanced SQL development and optimization skills
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Expertise in designing data models (fact/dimension tables, star and snowflake schemas) to support data warehousing and analytics
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Ability to build and maintain ETL/ELT pipelines, applying best practices for orchestration, monitoring, performance tuning, and error handling
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Familiarity with medallion-style architectures (bronze, silver, gold layers) to ensure scalability and data quality
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Experience integrating data platforms with reporting solutions such as Power BI
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Confidence in communicating with senior stakeholders, including executives, and presenting architectural recommendations

Prior experience with the following would be beneficial:

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Manufacturing, supply chain, or industrial data environments
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Azure Data Lake and Lakehouse architectures
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Data governance frameworks and DevOps practices in data environments
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API-based integrations



This role is located in the North Dallas/Richardson/Frisco area and requires 5 days per week working on site. This is a permanent role with a salary in the region of $145,000 to $160,000. Plus benefits.