Data Architect
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Role details
Tech stack
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Job description
Lead app and data modernization strategy for Cloud+AI customers: design repeatable, code-based IP and automation, modernize .NET/Java apps and databases to Azure platform services, enable field teams with agentic tooling and skilling, unblock escalations, and influence product roadmap for large-scale modernization. Top Skills: .NetAksAzureAzure Api ManagementAzure App ServiceAzure Container AppsAzure Copilot Migration AgentAzure Cosmos DbAzure Database For Mysql Flexible ServerAzure Database For Postgresql Flexible ServerAzure Database Migration ServiceAzure FunctionsAzure MigrateAzure SqlCassandraClisContainersGitGithub CopilotIdesJavaKubernetesMongoDBMysql/MariadbPostgresSQL Server EXL, Lead design and implementation of a unified/semi-unified data model across ~11 legacy systems. Analyze messy source data, create mappings and migration scripts, resolve data quality issues, mentor junior engineers, and set architecture and best practices for large-scale data transformation and migration on cloud platforms. Top Skills: GitGitlabGoogle Cloud PlatformSQL
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Requirements
Design and implement enterprise data architectures and lakehouse/warehouse solutions using Microsoft Fabric, Databricks or similar platforms. Lead data modeling, ETL/ELT pipelines, cloud integration, CI/CD, and stakeholder-facing consulting engagements to deliver scalable, secure analytics systems. The summary above was generated by AI
- More than 12+ years of IT experience
- Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery - experience with one or more)
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands-on experience with at least one modern data platform:
- Microsoft Fabric and/or Databricks strongly preferred
- Experience integrating data platforms with applications using APIs, services, or event-driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client-facing or consulting environments
- Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
Key Skills:
Data Architect
- Data warehouse
- Lakehouse (Databricks or Microsoft Fabric)
- Datalake
- ADF/Synapse/Data Pipelines(ETL/ELT)
- Strong SQL and Pyspark knowledge
- CI/CD Experience
Benefits & conditions
Remote or Hybrid Georgia, USA 140K-180K Annually Senior level 140K-180K Annually Senior level Information Technology * Database * Consulting Lead legacy-to-cloud data migration by converting SAS/Alteryx/SQL pipelines into Python/PySpark, design enterprise semantic layers and data models, implement Microsoft Fabric solutions, define architecture standards, perform architecture reviews and risk mitigation, mentor engineering teams, and ensure governance, security, and performance throughout migration. Top Skills: AlteryxAzureData FactoryMicrosoft FabricOnelakePower BIPysparkPythonSASSQL Jahnel Group
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