Azure Databricks Data Architect
ASCENT SERVICES LLC
Miamiville, OH, United States
about 1 month ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.disabledperson.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Big Data
Cloud Computing
Cloud Database
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Systems
Software Design Documents
DevOps
+13 more
High-Level Architecture
Python (Programming Language)
Modular Design
SQL Databases
Apache Spark
Data Strategy
Data Lakes
Infrastructure Automation Frameworks
Information Technology
Machine Learning Operations
Terraform
Data Pipelines
Databricks
Job description
- Architect scalable, high-performing data solutions to meet both functional and non-functional requirements.
- Own the architecture, design, and optimization of Databricks platforms within cloud-based ecosystems (Azure preferred).
- Serve as the technical lead and trusted advisor for clients, facilitating architecture workshops, requirements discovery sessions, and whiteboard discussions to design scalable Databricks Lakehouse solutions that align with business objectives, data strategy, and modernization initiatives.
- Partner directly with business and technical stakeholders to define end-to-end data architectures, presenting and defending solution designs while providing hands-on guidance for Databricks, Spark, Delta Lake, cloud platforms (Azure/AWS/GCP), data governance, and CI/CD best practices throughout the project lifecycle.
- Lead hands-on implementation of data pipelines and infrastructure using best practices for DevOps and infrastructure-as-code.
- Partner with data engineering teams to ensure platform performance, reliability, and maintainability.
- Integrate Databricks solutions across systems, aligning with enterprise architecture standards and delivery best practices.
- Create and review architecture and solution design documents for large-scale data initiatives.
- Evangelize reuse and modular design through shared services and common data models.
- Enforce architectural standards and guide teams on patterns, tools, and delivery methods.
- Mentor and provide technical guidance to engineers during development and delivery.
- Contribute to risk management through proactive identification and mitigation of technical delivery risks.
- Operate at varying levels of abstraction-solutioning high-level architecture while diving deep when needed.
Requirements
- Bachelor’s or master’s degree in computer science, Information Technology, or related field.
- 8+ years of experience in data architecture, cloud data warehousing, or large-scale data integration.
- 3+ years of hands-on experience delivering production-ready Databricks solutions.
- Strong proficiency in Python, SQL, data modeling, and Azure services (Data Factory, Event Hub, Synapse, DevOps).
- Experience implementing infrastructure using Terraform, ARM templates, or similar IAC tools.
- Comfort working in Agile/Scrum environments and supporting CI/CD pipelines.
- Excellent communication skills-you can explain complex ideas to tech teams and business stakeholders alike.
- Bonus: Familiarity with ML lifecycle concepts and MLOps tools, even if you’re not a model builder yourself.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.disabledperson.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…