Senior Data Engineer

LERETA, LLC; Pomona (CA); On-site; USD 114,000 - 140,000; Full time

Job summary

LERETA, LLC is seeking a Senior Data Engineer to lead the design, modernization, and operational support of the enterprise data platform. You will architect and optimize data integration, warehousing, reporting, and automation across Azure, Snowflake, and Power Platform, delivering scalable solutions.

The role requires 10+ years in data engineering, strong SQL, and expertise in Azure Data Factory, Snowflake, and Power BI.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent field.
• 10+ years of software design and development with majority in data engineering.
• Proficiency with Azure Data Factory, ADLS Gen2, Snowflake, SSIS, SSRS, and Power BI.
• Strong SQL development and tuning; expert in Excel and data validation.
• Experience with Agile/Scrum and enterprise production support.

Responsibilities

• Design and modernize enterprise data platform architecture.
• Lead data integration, warehousing, reporting, and automation projects.
• Optimize ETL/ELT pipelines and manage Snowflake warehouses.
• Develop Power BI datasets and enterprise reporting.
• Provide Tier 2/3 production support and participate in Agile ceremonies.

Skills

Azure Data Factory

Snowflake

Power BI

Power Automate

Power Query

SQL

Excel

Agile Scrum

Education

Bachelor’s degree in Computer Science/Information Systems

Tools

SSIS

SSRS

Snowflake OpenFlow

Azure DevOps

Git

Ataccama ONE

Job description

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise data integration, warehousing, reporting, and automation solutions across Azure, Snowflake, Microsoft BI technologies, and the Power Platform.

Key Responsibilities

• Defines and implements enterprise data architecture leveraging Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure SQL, Snowflake, Snowflake OpenFlow, SSIS, SSRS, Power BI, Power Automate, and Power Query.
• Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks
• Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental loading
• Optimizes long-running data extractions and improves pipeline performance
• Manages and tunes Snowflake warehouses for performance and cost efficiency
• Develops and supports Power BI datasets, data models, and enterprise reporting solutions
• Supports and modernizes SSRS reporting and downstream Power Platform dependencies
• Develops automation workflows using Power Automate to streamline operational processes
• Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support
• Establishes best practices for data modeling, environment promotion (Dev/QA/Prod), naming conventions, monitoring, and operational support
• Provides Tier 2 / Tier 3 production support for data integration and reporting platforms
• Participates in Agile/Scrum ceremonies including sprint planning, backlog refinement, and progress reporting.
• Identifies obsolete fact tables, unused reports, and redundant processes to streamline the data ecosystem
• Partners with leadership to provide visibility into sprint progress, platform health, and modernization initiatives
• Leverages Ataccama ONE for governance, data quality monitoring, and metadata management
• Integrates and maintain Ataccama data quality workflows to support enterprise data governance

This position will perform other duties as assigned based on the needs of the department.

Salary range: $114,280 - $140,000

Core Competencies

• Strong communication skills with the ability to translate technical concepts to business stakeholders
• Strong analytical and problem-solving abilities
• High attention to detail and data accuracy
• Strong work ethic with a sense of ownership and accountability
• Ability to prioritize effectively in a production support and development environment
• Collaborative team player with the ability to work cross-functionally

Required Education & Experience

• Bachelor’s degree in Computer Science, Information Systems, or equivalent field
• 10+ years of experience in software design and development, with the majority of time focused in a data engineering role
• Required Technical Skills:
  • Azure Data Factory
  • Azure Data Lake Storage (Gen2)
  • Snowflake (data modeling, performance tuning, streams & tasks)
  • Snowflake OpenFlow
  • SQL Server Integration Services (SSIS)
  • SQL Server Reporting Services (SSRS)
  • Power BI (data modeling, DAX, report optimization)
  • Power Automate
  • Power Query
  • Visual Studio
  • Azure DevOps
  • Advanced SQL development and tuning
  • Microsoft Excel (advanced formulas, pivot tables, data validation)
  • Git-based version control and CI/CD practices
  • Agile / Scrum methodology
  • Enterprise production support experience

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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