CLA (CliftonLarsonAllen)

Data Engineering Manager

CLA (CliftonLarsonAllen)

full-time

Posted on:

Location Type: Office

Location: Wausau • North Carolina, Texas, Wisconsin • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

AzureETLJavaPostgresPythonSQLSSIS

About the role

  • Collaborates with business teams to create roadmaps of strategic initiatives and data related requirements.
  • Lead the development, establishment, and enforcement of data quality and security standards across the firm.
  • Drive implementation and support of Master Data Management solution.
  • Direct the analysis of documentation and technical specifications for any new application under deployment or consideration to determine its intended functionality and impact on existing data structures.
  • Visionary identifying and promoting opportunities across the enterprise for enhanced data usage.
  • Assists with process capture and model using flowcharting tools.
  • Create data models and database designs working with the application development teams.
  • Ensure that that ETL and dashboard software development, software release and quality measures comply with regulatory standards, industry standards, and accepted best practices.
  • Create methodologies and processes for the collection and analysis of data for ensuring software, systems, and product quality.
  • Determine the selection and appropriate usage of data aggregation, transformation and analysis tools.
  • Oversee both dashboard and integration performance and data quality.
  • Works closely with Risk and Information Governance team understanding how teams are accessing and utilizing data to provide insights to their internal and external audience.
  • Manage all members of the Data Engineering team and ensure that aggressive deadlines are met.

Requirements

  • 7 years of relevant experience required.
  • Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
  • Degree in business administration, supply chain management, or a related field preferred.
  • Extensive experience with both logical and physical database design utilizing technologies such as MS SQL, Postgres.
  • Big Data technologies: Azure Datalake, Data Bricks, and Data Factories.
  • Well versed in API, Integration and ETL processes.
  • Fluent in SQL and SSIS.
  • Familiar with other tech programming language such as Java, Python or MS.Net
Benefits
  • Flexible PTO (designed to offer flexible time away for you!)
  • Up to 12 weeks paid parental leave
  • Paid Volunteer Time Off
  • Mental health coverage
  • Quarterly Wellness stipend
  • Fertility benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data quality standardsdata security standardsMaster Data Managementdata modelingdatabase designETL processesSQLSSISAzure DatalakeData Bricks
Soft skills
collaborationleadershipvisionary thinkingprocess capturecommunicationteam managementdeadline management