Senior Data Architect
New
J
JobgetherData architecture
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 10 years of experience in data engineering, data warehousing, or analytics, including 5+ years in a data or solution architecture role. At least 3 years of experience designing and delivering Azure data solutions, including hands-on production experience with Microsoft Fabric.
- Required Skills
- PythonMicrosoft AzureCI/CDData modelingPySpark
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
- At least 10 years of experience in data engineering, data warehousing, or analytics, including 5+ years in a data or solution architecture role.
- At least 3 years designing and delivering Azure data solutions, including hands-on production experience with Microsoft Fabric.
- End-to-end architecture ownership of at least two enterprise-scale data platform implementations.
- Expert-level dimensional modeling knowledge and working experience with Data Vault 2.0 and normalized data modeling.
- Advanced SQL skills, including T-SQL and Spark SQL, and working proficiency in Python and PySpark.
- Working knowledge of DAX and KQL.
- Practical experience with CI/CD, Git-based workflows, and infrastructure-as-code for data platforms.
- Experience in consulting, professional services, or client-facing delivery, including pre-sales and effort estimation.
- Demonstrated experience leading and mentoring technical teams.
- Strong written and verbal communication skills, including producing architecture documentation and leading client workshops.
- Ability to travel up to 25% to client sites.
Responsibilities
- Lead discovery sessions and assess client data environments, including sources, integrations, platforms, quality, security, and operating models.
- Define target-state and transition architectures for analytics, data warehousing, Lakehouse, real-time, and operational workloads.
- Produce architecture documentation, solution designs, diagrams, decision records, non-functional requirements, and capacity plans.
- Design Microsoft Fabric and Azure solutions, including OneLake, data platforms, Power BI models, integrations, and security controls.
- Lead migrations from legacy platforms, architecture reviews, and implementation standards across client engagements.
- Establish data modeling, governance, security, DevOps, DataOps, and AI governance practices.
- Architect governed data foundations and solutions for machine learning, generative AI, RAG, and enterprise knowledge.
- Lead technical discovery and pre-sales, shape solution approaches, estimate effort, and contribute to proposals and statements of work.
- Serve as technical lead for client engagements, managing architecture decisions, delivery standards, scope, risks, and production readiness.
- Lead and mentor technical delivery teams through architecture and code reviews, collaboration, and technical guidance.
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