Solutions Architect
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-09-13
Listing for:
Centraprise
Full Time
position Listed on 2026-09-13
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, Azure
Job Description & How to Apply Below
- Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
- Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
- Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.
- Architect cloud/on-prem hybrid data platforms leveraging the full Azure ecosystem including Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Purview, and Azure Dev Ops.
- Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
- Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
- Oversee end-to-end delivery, guiding engineering and Dev Ops teams through implementation and optimization.
- Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings.
- Provide thought leadership and hands-on direction to data engineering, analytics, Dev Ops, and platform teams.
- Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
- Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.
- Act as technical SME for client conversations, workshops, and executive presentations.
- Communicate complex architectural concepts clearly to both technical and non-technical audiences.
- Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.
- 12–15 years of overall IT experience with strong focus on cloud, data engineering, and enterprise architecture.
- 5+ years of hands‑on experience architecting production solutions on Microsoft Azure.
- 5+ years’ strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog).
- Proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
- Deep understanding of data modeling, data governance, metadata management, and modern security practices.
- Experience with CI/CD pipelines, Terraform / Azure Bicep / ARM Templates, Git Ops, and end-to-end automation.
- Strong knowledge of Azure networking (VNets, NSGs, Private Endpoints), Azure Active Directory, RBAC, encryption, identity governance, and security frameworks (NIST, CIS benchmarks).
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