COMPANY OVERVIEW
Moss is a leading national EPC (Engineering, Procurement, and Construction) company that is at theforefront of driving excellence in the clean energy sector.
Our primary focus is on building a sustainablefuture for America by delivering innovative and efficient programmatic solutions to our partners.
We areguided by our core values of Honoring Relationships, Entrepreneurial Spirit, and Contagious Energy,which shape every aspect of our operations.
Headquartered in Ft. Lauderdale, FL, Moss undertakes projects throughout the United States. We takegreat pride in prioritizing the safety, well-being, and success of our employees, families, and businesspartners. We emphasize safety, quality, client engagement, and employee development as key pillars of
our organization. By caring for these aspects, we strive to create a nurturing environment that fostersgrowth, collaboration, and mutual success.
Overall, Moss is dedicated to leading the way in the clean energy sector and being a reliable partner forour clients. Through our unwavering commitment to our core values and our relentless pursuit ofexcellence, we aim to contribute significantly to America's clean energy future.
POSITION SCOPE AND ORGANIZATIONAL IMPACT
Moss' Cloud Data Engineering Manager is responsible for any technological duties associated with cloudcomputing, including design, planning, management, maintenance and support. This is a hands-on rolethat requires the manager to perform tasks, implementation, and Data Engineering tasks as well DBA
tasks when needed.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES
- Communicates with Stakeholders
- Accepts tasks from management and the client
- Design, build, and maintain scalable and secure cloud-based data solutions primarily within theMicrosoft Azure ecosystem.
- Lead the development of data pipelines and ETL / ELT workflows using Azure Data Factory,ensuring efficiency, reliability, and reusability across projects.
Develop and optimize data lake and data warehouse architectures using Azure Data LakeStorage Gen2, Azure Synapse Analytics, and SQL Server to support advanced analytics andbusiness intelligence initiatives.
Implement robust data ingestion frameworks for both structured and unstructured data sources,including APIs, on-premises databases, IoT, and 3rd party systems like Workday and Procore.Design and enforce data governance standards, metadata management, and data securitypolicies, including row-level security and data masking using Azure Purview and SQL Serversecurity roles.Build real-time and batch data processing solutions leveraging Azure Stream Analytics,Event Hubs, and Databricks where applicable.Collaborate with data scientists, analysts, and business stakeholders to design and deliversemantic models, Power BI datasets, and dashboards that translate raw data into actionableinsights.Manage CI / CD processes for data infrastructure using Azure DevOps, ARM templates, andYAML pipelines.Monitor and optimize data workloads using Azure Monitor, Log Analytics, and SQL Profiler,ensuring high availability, performance, and cost-efficiency.Provide technical mentorship and guidance to junior engineers, fostering a culture of innovationand continuous learning.EDUCATION AND WORK EXPERIENCE
Work independently and with the business stakeholders to understand their requirements anddrive business outcomesUtilize SQL server database for backend development and integration servicesSolid understanding of data concepts, including ODS, data warehousing and data storageAbility to think strategically about design and architectural aspects of the data infrastructureAdvanced SQL conceptsJoins and SubqueriesAggregate FunctionsIndexing and OptimizationNormalizationReferential integritySQL Server Database AdministrationBachelor's or Master's degree in Computer Science, Information Systems, Data Engineering,or related field.7 years of professional experience in data engineering, with at least 3 years focused onMicrosoft cloud data technologies.Proven experience in building enterprise-grade solutions on Azure, including :Azure Data Factory for orchestrationAzure Synapse and SQL Server for data warehousingAzure Data Lake Storage Gen2 for scalable storageAzure Functions and Logic Apps for automationStrong expertise in T-SQL, including writing optimized queries, stored procedures, and views forhigh-performance analytics.Experience in implementing data modeling best practices (star / snowflake schema),dimensional modeling, and snapshotting techniques.Hands-on experience integrating with Microsoft Power Platform, especially Power BI, includingDAX, M language, and dataset optimization.Familiarity with Agile / Scrum methodologies, source control via Git, and project managementtools like Azure Boards or Jira.Experience with data governance and compliance, including data lineage, audit trails,sensitive data classification, and GDPR / CCPA requirements using Azure Purview or similartools.Data Pipeline DevelopmentDesign, implement, and optimize end-to-end data pipelines foringesting, processing, and transforming large volumes of strutured and unstructured data.Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sourcesinto our data ecosystem.Implement data validation and quality checks to ensure accuracy andconsistencyJOB TITLE : CLOUD DATA ENGINEER MANAGERJOB LOCATION : FORT LAUDERDALE, FLCLASSIFICATION : FULL TIME - EXEMPT - SALARIEDREPORTS TO : DIRECTOR OF DATA ENGINEERING & AIMoss is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
