Data Solution Architect

Greenhouse Software, Inc.; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Unlimited PTO

Medical, dental & vision coverage

401(k) plan with company match

Flexible benefits program

Job summary

Greenhouse Software, Inc. is seeking a Senior Data Architect to lead complex data modernization initiatives in Azure, driving migrations from on-premises to lakehouse architectures and building scalable data pipelines.

You will shape governance, implement CI/CD with Azure DevOps and GitHub, and collaborate with cross-functional teams to deliver trusted, high-performing data platforms across Dynamics 365, SAP, Salesforce, and other enterprise systems.

Qualifications

• 10+ years of experience in data architecture, ETL, data warehousing, and cloud transformation initiatives.
• Deep expertise with Azure Synapse, Databricks, Spark, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Functions, Python, and SQL/T-SQL.
• Proven experience optimizing cloud platform cost, performance, scalability, and operational efficiency.
• Strong knowledge of Data Mesh, Delta Lake, Azure Purview, and modern data governance and observability frameworks.
• Hands-on experience building scalable real-time ingestion, data processing frameworks, and enterprise data platforms.
• Strong understanding of Common Data Model (CDM), Dataverse, Power BI Dataflows, and integrations with Dynamics 365 and other enterprise applications.

Responsibilities

• Architect, lead, and deliver complex data modernization initiatives leveraging Azure Synapse, Microsoft Fabric, Azure Data Lake, Databricks, and related Azure services.
• Drive on-premises to Azure migration strategies, modernizing legacy data warehouses into scalable lakehouse and Delta Lake architectures.
• Design and implement enterprise data integration frameworks across Dynamics 365 F&O, Dynamics 365 CE, Salesforce, SAP, Workday, and third-party platforms using Azure-native services and Data API Gateways.
• Build, optimize, and maintain advanced data pipelines in Azure Synapse and Azure Data Factory (ADF), supporting both full and incremental data loads from cloud and on-premises environments.
• Establish scalable, cost-efficient, and high-performing data architectures by driving performance optimization and platform best practices across Databricks and Synapse environments.
• Implement enterprise-grade data platform capabilities including Delta Lake features such as CDC, schema evolution, and slowly changing dimensions (SCDs).
• Apply modern governance, security, and observability frameworks using Azure Purview, Key Vault, and Data Mesh principles to ensure trusted and compliant data solutions.
• Lead the design and implementation of reusable CI/CD frameworks using Azure DevOps, GitHub, ARM templates, and PowerShell automation.
• Partner with cross-functional Microsoft service line teams, including Power Platform, Dynamics 365, Azure Infrastructure, and Modern Work, to deliver integrated client solutions.
• Serve as a trusted advisor by contributing to client roadmaps, strategy discussions, proposals, steering committee meetings, and executive communications while ensuring customer satisfaction and delivery excellence.
• Leading complex on-premises to Azure data transformation journeys across large enterprise environments.
• Designing modern data platforms using lakehouse, Data Mesh, microservices, and cloud-native architectural patterns.
• Building near real-time ingestion and processing solutions using technologies such as Kafka, Event Hubs, or similar platforms.
• Integrating Azure AI and machine learning services to enhance analytics and intelligent decision-making capabilities.
• Developing and managing automated deployment and CI/CD pipelines using Azure DevOps, GitHub Actions, ARM/Bicep, and PowerShell.

Skills

Client-facing communication

Mentoring data engineers

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

Azure Synapse

Databricks

Spark

Azure Data Factory

ADLS

Azure Functions

Python

SQL/T-SQL

Power BI

Azure DevOps

GitHub Actions

ARM templates

PowerShell

Git

Job description

As a Senior Data Architect you can expect to...

• Architect, lead, and deliver complex data modernization initiatives leveraging Azure Synapse, Microsoft Fabric, Azure Data Lake, Databricks, and related Azure services.
• Drive on-premises to Azure migration strategies, modernizing legacy data warehouses into scalable lakehouse and Delta Lake architectures.
• Design and implement enterprise data integration frameworks across Dynamics 365 F&O, Dynamics 365 CE, Salesforce, SAP, Workday, and third-party platforms using Azure-native services and Data API Gateways.
• Build, optimize, and maintain advanced data pipelines in Azure Synapse and Azure Data Factory (ADF), supporting both full and incremental data loads from cloud and on-premises environments.
• Establish scalable, cost-efficient, and high-performing data architectures by driving performance optimization and platform best practices across Databricks and Synapse environments.
• Implement enterprise-grade data platform capabilities including Delta Lake features such as CDC, schema evolution, and slowly changing dimensions (SCDs).
• Apply modern governance, security, and observability frameworks using Azure Purview, Key Vault, and Data Mesh principles to ensure trusted and compliant data solutions.
• Lead the design and implementation of reusable CI/CD frameworks using Azure DevOps, GitHub, ARM templates, and PowerShell automation.
• Partner with cross-functional Microsoft service line teams, including Power Platform, Dynamics 365, Azure Infrastructure, and Modern Work, to deliver integrated client solutions.
• Serve as a trusted advisor by contributing to client roadmaps, strategy discussions, proposals, steering committee meetings, and executive communications while ensuring customer satisfaction and delivery excellence.
• Leading complex on-premises to Azure data transformation journeys across large enterprise environments.
• Designing modern data platforms using lakehouse, Data Mesh, microservices, and cloud-native architectural patterns.
• Building near real-time ingestion and processing solutions using technologies such as Kafka, Event Hubs, or similar platforms.
• Integrating Azure AI and machine learning services to enhance analytics and intelligent decision-making capabilities.
• Developing and managing automated deployment and CI/CD pipelines using Azure DevOps, GitHub Actions, ARM/Bicep, and PowerShell.
• Communicating complex technical concepts effectively to executives, business stakeholders, and technical teams.
• Mentoring data engineers, guiding solution architecture decisions, and ensuring delivery quality across multi-team engagements.
• Ensuring data quality, integrity, governance, and security throughout the data lifecycle.
• Thriving in a collaborative environment while solving complex challenges with creativity, adaptability, and a commitment to continuous learning.

Sound interesting? If so, you’ll have...

• A bachelor’s degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in data architecture, ETL, data warehousing, and cloud transformation initiatives.
• Deep expertise with Azure Synapse, Databricks, Spark, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Functions, Python, and SQL/T-SQL.
• Proven experience optimizing cloud platform cost, performance, scalability, and operational efficiency.
• Strong knowledge of Data Mesh, Delta Lake, Azure Purview, and modern data governance and observability frameworks.
• Hands‑on experience building scalable real‑time ingestion, data processing frameworks, and enterprise data platforms.
• Strong understanding of Common Data Model (CDM), Dataverse, Power BI Dataflows, and integrations with Dynamics 365 and other enterprise applications.
• Experience with Azure Key Vault, Logic Apps, runbooks, DevOps pipelines, PowerShell scripting, ARM templates, Git, and CI/CD automation.
• Demonstrated success leading client‑facing architecture discussions, technical solution delivery, and enterprise transformation programs.
• Strong analytical, problem‑solving, communication, collaboration, and business process analysis skills, with the ability to guide clients through complex challenges.

The Perks

We offer competitive pay with a performance-based bonus. Our employees also enjoy unlimited paid time off and a flexible and affordable benefits program designed to help you be and stay well, including: medical, dental & vision coverage, flexible spending accounts, health reimbursement account, and a 401(k) plan with a company match. Additionally, you’ll have the benefit of working alongside enthusiastic and energetic teammates in a dynamic and thriving environment.

HSO is an Equal Opportunity Employer.