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The Cloud Data Engineer will plan, build, and implement Azure data infrastructure and software solutions, collaborating with stakeholders and managing data migrations.
Founded in 2022, Eastwall is a unique professional services firm in the Azure cloud space. We are a Cloud-focused Microsoft partner. Our vision is predicated on improving business outcomes through modern technology implementations and operating models built on the Microsoft Cloud. Learn how Eastwall helps our clients pave the way as leading organizations at www.eastwall.com.
Job Description
The Data Engineer is a customer-facing mid-level (depending on experience) technical role. This role will work directly with Enterprise Architecture and Technology Leadership to plan, build, and implement modern data infrastructure and software solutions.
Responsibilities
- Identify, evaluate, and execute the development and implementation of data infrastructure on Azure using platform-as-a-service technologies.
- Perform analysis on source systems & datasets to build end-state data models for conformed warehousing, define layers of medallion architecture (Bronze, Silver, Gold), and implement recommendations for maximizing performance and customer experience in both relational and non-relational data ecosystems.
- Migrate enterprise data workloads, workflows, processes, and pipelines to the Azure ecosystem in Fabric, Synapse, or other systems using industry standard and proprietary processes& technologies.
- Define and clearly communicate requirements and expectations to stakeholders.
- Work as a team member across the complete life cycle of delivery including architecture, design, development, testing, and documentation.
Experience
- At least 2-5 years of experience in solutions (or comparable cloud services) such as Azure SQL Server, Azure Data Factory, Synapse, Data Warehousing, or other comparable Azure data tools.
- At least 1-2 years of experience with Azure DevOps (or comparable build/release and CI/CD tooling), infrastructure-as-code (Azure Resource Manager, Terraform, Ansible preferred) and daily work alongside data engineering and/or software engineering teams.
- Understanding of high availability and disaster recovery principles, patterns and applications.
- Experience supporting Production applications or workloads, being able to performance test and troubleshoot related issues.
- Experience with Snowflake and/or Databricks is beneficial, but not required.
- Any experience with Microsoft Fabric is highly beneficial and preferred.
- Experience in any cloud AI/ML services is a plus.
- Experience in a consultative role or an engineering role working with more than one client environment at any given time.
- Excellent written and verbal communication skills, including technical writing & powerpoint presentations.
Expectations
- New hires in this role will complete the following certifications within the first twelve weeks of hire:
- Exam DP-900: Microsoft Data Platform Fundamentals
- Exam DP-203: Data Engineering on Microsoft Azure
- Exam DP-600: Microsoft Fabric Engineering Associate
- Travel for this role is up to 15% within the continental United States
Benefits
- Competitive salary and bonuses
- Comprehensive medical, dental, vision and life insurance
- 401(k) with company match
- Three (3) weeks of paid time off annually, not including eight (8) paid holidays and floating holidays
- Monthly professional development funds
- Annual conference & training budget
- Fully remote work environment, with local co-working options
Top Skills
Ansible
Azure Data Factory
Azure Devops
Azure Sql Server
Azure Synapse
Data Warehousing
Databricks
Microsoft Fabric
Snowflake
Terraform
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