Moss & Associates (Construction) ยท 2 weeks ago
Cloud Data Engineering Manager
Fort Lauderdale, FL
Full-time
Onsite
Senior Level
7+ years expMoss & Associates is a leading national EPC company focused on clean energy solutions. The Cloud Data Engineering Manager will be responsible for designing, building, and maintaining cloud-based data solutions primarily within the Microsoft Azure ecosystem, while also providing technical mentorship to junior engineers.
AssociationConstruction
Responsibilities
Communicates with Stakeholders
Accepts tasks from management and the client
Design, build, and maintain scalable and secure cloud-based data solutions primarily within the Microsoft 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 Lake Storage Gen2, Azure Synapse Analytics, and SQL Server to support advanced analytics and business 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 security policies, including row-level security and data masking using Azure Purview and SQL Server security 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 deliver semantic models, Power BI datasets, and dashboards that translate raw data into actionable insights
Manage CI/CD processes for data infrastructure using Azure DevOps, ARM templates, and YAML 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 innovation and continuous learning
Qualification
Required
Bachelor'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 on Microsoft cloud data technologies
Proven experience in building enterprise-grade solutions on Azure, including: Azure Data Factory for orchestration, Azure Synapse and SQL Server for data warehousing, Azure Data Lake Storage Gen2 for scalable storage, and Azure Functions and Logic Apps for automation
Strong expertise in T-SQL, including writing optimized queries, stored procedures, and views for high-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, including DAX, M language, and dataset optimization
Familiarity with Agile/Scrum methodologies, source control via Git, and project management tools 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 similar tools
Data Pipeline Development: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem
Implement data validation and quality checks to ensure accuracy and consistency
Work independently and with the business stakeholders to understand their requirements and drive business outcomes
Experienced in SQL Server Database Administration, the utilization of SQL Server database for backend development and integration services, and possessing advanced SQL concepts
Solid understanding of data concepts, including ODS, data warehousing, and data storage
Ability to think strategically about design and architectural aspects of the data infrastructure
Proficiency with joins and subqueries
Experience using aggregate functions
Knowledge of indexing and query optimization techniques
Understanding of database normalization principles
Familiarity with referential integrity best practices
Company
Moss & Associates (Construction)
Moss is a national construction management company providing innovative solutions resulting in award-winning projects across the United States.
501-1000 employees
H1B Sponsorship
Moss & Associates (Construction) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (60)
2024 (26)
2023 (32)
2022 (20)
2021 (11)
2020 (14)
Funding
Current Stage
Late StageLeadership Team
Enrique Enrique Coello
Chief Human Resources Officer
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