Job Description

Only US Citizen or GC or Permanent Resident can apply this role.

Salary: $130k/yr. to $160k/yr. on W2 rate only

Title : Senior Manager of Data Engineering & Reporting

Location : Calabasas, CA, United States

Position Type : Direct Placement

Seeking an experienced Senior Manager in Data Engineering & Reporting to lead enterprise data strategy, architecture, and analytics solutions. As the gatekeeper of company-wide data, you will drive data integrity, governance, scalability, and insights that empower executive decision-making, operational efficiency, and digital transformation. You will work across IT, Finance, Sales, Operation, and Marketing to develop cloud-first, AI-ready data ecosystems that optimize business intelligence and reporting. The ideal candidate will have deep expertise in Oracle, Microsoft SQL, Salesforce Data Migration, ETL, SSIS solutions, .NET, AWS, Azure, RDS, and Tableau, supporting our growing business needs and digital transformation initiatives.

Required Qualifications:

• 8+ years of experience in Data Engineering, Database Administration, ETL development, Marketing Analytics and Reporting, preferably for consumer brands.
• Deep expertise in Oracle, Microsoft SQL Server, AWS RDS, Azure SQL, and cloud-based database services.
• Experience with cloud-based Data Warehousing, Big Data processing, and Data Lakes (e.g., AWS Redshift, Azure Synapse, Snowflake).
• Hands-on experience with Salesforce data migration and integration.
• Strong experience with ETL/SSIS solutions, data integration, and transformation processes.
• Proficiency in .NET, Python, PowerShell, or Terraform for automation and scripting.
• Experience creating enterprise reporting dashboards and specific reports to drive insight-driven decision-making.
• Proven ability to understand business teams' data and reporting needs, create cross-functional priorities, and establish and execute on data reporting roadmap.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work collaboratively in a fast-paced environment.

Preferred Qualifications:

• Knowledge of AI/ML-driven data analytics and predictive modeling.
• Certifications in AWS, Azure, or Microsoft SQL databases.
• Experience with data governance and security best practices.

Data Architecture and Warehouse Management :

• Design, develop, and maintain scalable, high-performance data warehouse architecture across Oracle, Microsoft SQL Server, and cloud platforms (AWS RDS, Azure SQL). Implement best practices for data modeling, storage, and governance to ensure data consistency and accuracy. Manage and optimize Salesforce data migrations, providing seamless integration with CRM, ERP, and other systems.

Data Engineering and Data Quality :

• Design and implement optimal real-time and batch processing, ETL/ELT pipelines using SSIS, SQL, and cloud-based tools (e.g., AWS Glue, Azure Data Fabric) to automate data ingestion and transformation. Develop governance and implement processes to ensure data quality, lineage, and validation across all workflows.

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