Senior Data Engineer

Lereta Llc; Irving (TX); On-site; USD 114,280 - 140,000; Full time

Job summary

Lereta Llc in Irving, Texas is looking for a Senior Data Engineer to lead the design and support of their enterprise data platform. The ideal candidate will have over 10 years of experience in data engineering, with expertise in Azure, Snowflake, and Power BI technologies. Key responsibilities include managing data integration solutions, optimizing data performance, and developing automation workflows. The salary range for this position is $114,280 to $140,000.

Qualifications

• 10+ years of experience in software design and development, with focus on data engineering.
• Strong analytical and problem-solving abilities.
• Ability to prioritize effectively in a production support and development environment.

Responsibilities

• Lead the design, modernization, and operational support of the enterprise data platform.
• Manage and tune Snowflake warehouses for performance and cost efficiency.
• Develop automation workflows using Power Automate to streamline processes.

Skills

Azure Data Factory

Snowflake

Power BI

SQL Server Integration Services (SSIS)

Advanced SQL development and tuning

Microsoft Excel

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Azure DevOps

Power Automate

Visual Studio

Job description

Dallas | DAL-Irving
Irving, TX 75038, USA

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 maintains 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 on 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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