Cloud Data Engineering Manager

Cloud Data Engineering Manager

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Moss is a leading national EPC (Engineering, Procurement, and Construction) company at the forefront of driving excellence in the clean energy sector. Our primary focus is to build a sustainable future for America by delivering innovative and efficient programmatic solutions to our partners. Guided by our core values—Honoring Relationships, Entrepreneurial Spirit, and Contagious Energy—every aspect of our operations reflects these principles.

Headquartered in Fort Lauderdale, FL, Moss undertakes projects across the United States, prioritizing the safety, well‑being, and success of employees, families, and business partners. We emphasize safety, quality, client engagement, and employee development as key pillars, fostering a nurturing environment that promotes growth, collaboration, and mutual success. Moss is committed to leading the clean‑energy sector and being a reliable partner for our clients, striving to make a significant contribution to America’s clean‑energy future.

Moss' Cloud Data Engineering Manager is responsible for all technological duties related to cloud computing—including design, planning, management, maintenance, and support. This hands‑on role requires the manager to perform implementation, data engineering, and DBA tasks as needed.

• Communicates with stakeholders.
• Accepts tasks from management and the client.
• Designs, builds, and maintains scalable and secure cloud‑based data solutions primarily within the Microsoft Azure ecosystem.
• Leads the development of data pipelines and ETL/ELT workflows using Azure Data Factory, ensuring efficiency, reliability, and reusability across projects.
• Develops and optimizes data lake and data warehouse architectures using Azure Data Lake Storage Gen2, Azure Synapse Analytics, and SQL Server to support advanced analytics and business intelligence initiatives.
• Implements robust data ingestion frameworks for structured and unstructured data sources—including APIs, on‑premises databases, IoT, and third‑party systems like Workday and Procore.
• Designs and enforces data governance standards, metadata management, and data security policies, including row‑level security and data masking using Azure Purview and SQL Server security roles.
• Builds real‑time and batch data processing solutions leveraging Azure Stream Analytics, Event Hubs, and Databricks where applicable.
• Collaborates with data scientists, analysts, and business stakeholders to design and deliver semantic models, Power BI datasets, and dashboards that translate raw data into actionable insights.
• Manages CI/CD processes for data infrastructure using Azure Dev Ops, ARM templates, and YAML pipelines. Monitors and optimizes data workloads with Azure Monitor, Log Analytics, and SQL Profiler to ensure high availability, performance, and cost‑efficiency.
• Provides technical mentorship and guidance to junior engineers, fostering a culture of innovation and continuous learning.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
• Seven years of professional experience in data engineering, with at least three years focused on Microsoft cloud data technologies.
• Proven experience building enterprise‑grade solutions on Azure, including Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, Azure Functions, and Azure Logic Apps.
• Strong expertise in T‑SQL, including writing optimized queries, stored procedures, and views for high‑performance analytics.
• Experience implementing data modeling best practices (star/snowflake schema), dimensional modeling, and snapshotting techniques.
• Hands‑on experience integrating with Microsoft Power Platform, especially Power BI, including DAX, M language, and dataset optimization.
• Familiarity with Agile/Scrum methodologies, source control via Git, and project management tools such as Azure Boards or Jira.
• Experience with data governance and compliance, including data lineage, audit trails, sensitive data…