Data Architect (Data & AI)
United States
Concurrency
Concurrency is the leading consulting partner for Data, AI, Security, Digital Operations, Managed IT Services, in Milwaukee, Chicago, Minneapolis and nationwide.What You'll Do
- Identify customer needs and build tailored data engineering solutions.
- Lead the design, strategic direction, and implementation of data architectures on customer projects.
- Communicate complex ideas simply to diverse audiences.
- Navigate ambiguity between current and future states.
- Advise Concurrency leadership on technical directions to expand Data & AI market share.
- Mentor team members and promote high standards in data engineering and system design.
- Publish thought leadership content to attract and educate target customers through GitHub, LinkedIn, blogs, or YouTube.
- Lead requirements gathering workshops with technical and non-technical customers.
- Confidently lead any stage of the data software development lifecycle.
- Challenge the status quo to propose improvements.
- Embrace challenges and demonstrate resilience in the face of failure.
What You'll Need
- Languages: Python 3.8+, SQL, PySpark.
- Cloud/Azure: Data Management Landing Zones, Data Landing Zones, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL DB, Azure Cosmos DB
- System Design:
- Apply Domain-Driven Design for optimal Azure architecture topologies.
- Enable data product interoperability using Common Data Model or industry data models.
- Data Strategy: Craft enterprise data strategies that balance trade-offs, organizational structure, tech maturity, and strategic objectives.
- DevOps & Orchestration: CI/CD in Azure DevOps or GitHub Actions, containerization (Docker, Kubernetes), automation (Azure Functions, Azure Logic Apps).
- Data Warehousing & Modeling: Design scalable data warehouses and manage complex data pipelines.
- Governance: Implement data contracts, MDM, data catalog, lineage, and metadata management.
- Security: IAM, Microsoft Entra ID, Azure Key Vault, Encryption, Data Loss Prevention.
- Tools: GitHub, PowerShell, Azure CLI, ARM templates.
What Will Set You Apart
- Microsoft MVP.
- Strong software engineering experience.
- Experience in professional services organizations.
- Azure Purview and Fabric implementation.
- Data fabric and/or data mesh experience.
- Scala, Java, Terraform.
- Power BI report creation and deployment.
- API development with FastAPI or Django REST framework.
- MLOps infrastructure, pipelines, and automated governance.
- Product mentality with a professional services approach.
- Experience building Azure data infrastructure in Manufacturing or Retail (Agriculture, Education, Hospitality, or Financial Services are also valued).
- Demonstrable thought leadership through an active GitHub, blog posts, or publications.
- 15+ years building data or system architectures.
Why You'll Love It Here
- A close-knit team culture where your ideas and effort really count
- The chance to have a significant influence on our technical direction
- The chance to work on groundbreaking projects for enterprise clients new to modern Data & AI
#LI-SB1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs Architecture Azure CI/CD Consulting Cosmos DB Databricks Data management Data pipelines Data strategy Data Warehousing DevOps Django Docker Engineering FastAPI GitHub Java Kubernetes MLOps MVP Pipelines Power BI PySpark Python Scala Security SQL Terraform
Perks/benefits: Career development Competitive pay Flex hours
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