Director Data Engineering

3 weeks ago

Henderson, United States CareerBuilder Full time

Job Description

Job Description Description:
As the Director of Data Engineering, you will lead the vision and roadmap for enhanced on-premises and cloud-enabled data products and services for Paysign, Inc. In this role, you will provide strategic direction, technical expertise, and hands-on leadership to build and optimize data pipelines, analytics solutions, and data services.
Requirements:
Essential Functions
As a Director of Data Engineering, you will be instrumental in driving innovation, ensuring data quality, and fostering collaboration across teams to harness the power of data for informed decision-making.
Lead the design of new data capabilities and infrastructure related to accessing and using Paysign, third party, and partner data to power Paysign data products and solutions.
Develop a horizontal technology roadmap to enable technology solutions for managing data that meet the needs of multiple business stakeholder groups.
Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.
Provide technical leadership in data architecture, ensuring best practices for data modeling, storage, and retrieval.
Collaborate with cross-functional teams to define data requirements and design solutions that align with business objectives.
Oversee data governance and quality, ensuring data accuracy, consistency, and compliance with industry standards.
Drive the adoption of advanced analytics techniques and technologies to unlock insights from large datasets.
Mentor and guide a team of data engineers, fostering a culture of continuous learning and professional growth.
Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy.
Collaborate with stakeholders to identify opportunities for data-driven innovations that enhance business outcomes.
Establish and enforce data security and privacy protocols to safeguard sensitive information.
Drive the adoption of agile methodologies and DevOps practices to ensure efficient and high-quality data engineering processes.

Required Skills/Abilities:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Extensive experience in data engineering, with a strong track record of designing and implementing data solutions.
Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (Spark, Hadoop, Databricks, Snowflake, etc.)
In-depth understanding of data warehousing concepts, cloud platforms (AWS, Azure, GCP), and data modeling techniques
Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools
Demonstrated experience in architecture, design and development of scalable distributed event driven data products.
Experience in anonymizing data, data product development, analytical models, and AI governance
Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization.
Familiarity with industry best practices for collection and use of data
Strong project management skills and a demonstrated ability to understand complex information product constructs.
Outstanding problem-solving skills and the ability to navigate complex data challenges.
Effective communication and collaboration skills to work with both technical and non-technical stakeholders.
Experience with agile methodologies, DevOps practices, and CI/CD pipelines

Job Type:

Full-time, on-site

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