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Cloud Data Engineering Manager

Cloud Data Engineering Manager

Signature ConsultantsUSA, Florida, Fort Lauderdale
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Title : Cloud Data Engineering Manager

Location : Ft. Lauderdale Florida 33309 - Onsite

Job Type : Full Time Permanent

JOB DESCRIPTION :

Cloud Data Engineering Manager is responsible for any technological duties associated with cloud computing, including design, planning, management, maintenance, and support. This is a hands-on role that 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 the MS 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.

EDUCATION :

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.

    • WORK EXPERIENCE :

  • Work independently and with the business stakeholders to understand their requirements and drive business outcomes
  • Utilize SQL server database for backend development and integration services
  • 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
  • Advanced SQL concepts
  • Joins and Subqueries
  • Aggregate Functions
  • Indexing and Optimization
  • Normalization
  • Referential integrity
  • SQL Server Database Administration
  • Professional experience in data engineering, with focused on MS 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
  • 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 MS 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

    • Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

    Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https : / / dexian.com / to learn more.

    Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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    Data Engineering Manager • USA, Florida, Fort Lauderdale