TECH Manager, DATA & Analytics; FTE | Hybrid | Los Angeles, CA

This range is provided by M-Logic, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Annual Bonus

Direct message the job poster from M-Logic, Inc.

In this role you are a strategic thinker and technical leader, skilled in building robust, scalable solutions that support enterprise-wide data needs. Your expertise in data integration, cloud platforms, and modern development practices empowers you to architect systems that enable advanced analytics, AI, and machine learning across the organization.

In this role, you will lead a team of integration engineers focused on designing, developing, and maintaining data pipelines and automation frameworks that span multiple platforms and technologies. Leveraging your proficiency in Python, Snowflake, Azure, and scripting languages, you will deliver secure, high-performance solutions that power critical business insights. You’ll work closely with stakeholders across data science, analytics, and IT teams to define technical strategy, set priorities, and ensure successful delivery of integration projects.

You will also be responsible for overseeing version control, CI/CD processes, and infrastructure automation using tools such as Git Hub and Azure Dev Ops. Familiarity with data ingestion and transformation platforms like Fivetran, SQL Server, SSIS, Astronomer, Airflow, and reporting tools like Tableau will help you drive operational excellence and continuous improvement. Additionally, your experience with document processing solutions will enable you to support a broad range of use cases, from traditional reporting to intelligent automation.

Responsibilities:

• Lead and mentor a team of data engineers and integration specialists.
• Define and implement best practices for data integration, ETL/ELT processes, and data governance.
• Collaborate with business stakeholders to understand integration requirements and translate them into technical solutions.
• Oversee the development and optimization of data pipelines using Python, Snowflake, and Azure services.
• Integrate AI and machine learning models into data workflows for predictive analytics and automation.
• Implement document processing solutions for extracting and structuring data from unstructured sources.
• Ensure data quality, security, and compliance across all integration processes.
• Utilize Git Hub and Azure Dev Ops for source control, code reviews, and deployment automation.
• Stay current with emerging technologies and recommend improvements to existing architecture.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
• 7+ years of experience in data engineering or integration roles, with at least 2 years in a leadership capacity.
• Strong proficiency in Python, SQL, and scripting languages (e.g., Power Shell, Bash).
• Hands-on experience with Snowflake, Azure functionality, and cloud-based data solutions.
• Familiarity with Git Hub and Azure Dev Ops for CI/CD and version control.
• Experience implementing AI/ML models using frameworks such as Tensor Flow, PyTorch, or scikit-learn.
• Experience with document processing frameworks (e.g., OCR, NLP).
• Bonus
  
  Skills:
  
  Experience with Fivetran, SQL Server, SSIS, Astronomer, Airflow, and Tableau.
• Excellent communication and leadership skills.

Preferred Qualifications:

• Previous work experience in a financial institution environment.
• Possess strong analytical skills and ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization may exist.
• Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

Mid-Senior level

Full-time

Information Technology