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Director of Data Engineering
Director of Data EngineeringHirexHire • Denver, CO, US
Director of Data Engineering

Director of Data Engineering

HirexHire • Denver, CO, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description


ABOUT US

HirexHire (pronounced hire by hire) is a Chicago-based recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan.

We partner with companies expecting or experiencing high growth which need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses.

OUR CLIENT

Headquarters: Chicago, IL
Industry: Legal/AI SaaS
Company Size: 1000+
What They Do: Our client is a PE-backed SaaS company at the forefront of legal technology, specializing in productivity and risk management software for small to large law firms and their employees globally. They offer a connected ecosystem of solutions to drive innovation across many aspects of a firm.

THE ROLE

We are seeking a dynamic, forward-thinking Director of Data Engineering to join our client's team in their new Denver office. In this role, you will join and lead a passionate team that is driving innovation in the legal technology space. You will have the opportunity to work with cutting-edge tools and execute a strategic vision for the data engineering team, making a difference for legal professionals everywhere.

This role is hybrid to the Denver, CO area.

WHAT YOU WILL DO

  • Develop and execute a strategic vision for data engineering that aligns with the company's goals and objectives, focusing on scalability, reliability, and performance
  • Lead and mentor a team of data engineers, providing guidance on best practices, code reviews, and professional development
  • Design, build, and optimize data pipelines, architectures, and data sets in Azure to support data transformation, data structures, metadata, dependency, and workload management
  • Collaborate with cross-functional teams, including data science, analytics, and business stakeholders to understand data needs and deliver solutions that enable data-driven decision-making
  • Implement and maintain robust security measures, ensuring compliance with data governance and privacy policies
  • Stay current with industry trends and developments in Azure services, Power BI, and related data technologies to drive innovation and continuous improvement
  • Manage the deployment of machine learning models in collaboration with data scientists, ensuring seamless integration with existing data pipelines and architectures
  • Ensure high data quality and integrity by implementing quality control measures and monitoring performance
  • Drive the adoption of advanced analytics and business intelligence tools within the organization, leveraging Power BI to create insightful dashboards and reports
  • Oversee the budget for data engineering projects, including resource allocation and cost optimization

WHAT YOU WILL NEED

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years of experience in data engineering with a proven track record of leading teams and delivering complex data projects
  • Deep understanding of Azure cloud services, including Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse/Synapse Analytics, and Azure Databricks
  • Expertise in Power BI and other BI tools, with experience in dashboard and report development
  • Strong experience with SQL, Python, Spark, and other data engineering technologies
  • Familiarity with data modeling, ETL/ELT processes, and data warehousing principles
  • Excellent leadership skills with the ability to inspire and motivate a remote team
  • Strong communication and collaboration skills to effectively interact with various stakeholders
  • Experience with machine learning model deployment and MLOps is a plus
  • Familiarity with data governance, compliance, and security standards.
WHAT OUR CLIENT OFFERS YOU
  • Supportive Company Culture
  • Global, Dynamic, and Diverse Team
  • Comprehensive Benefits Package (health insurance, retirement savings, generous PTO, and work-life balance)
  • Career Growth and Development
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Director of Data Engineering • Denver, CO, US

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