Are you a Data Engineering Manager who is interested in the stability of working for a $1 Trillion Private Equity Firm, but can leave your mark on the technical direction of a rapidly growing, intrapreneurial "start-up" based in the low country, and poised to have explosive growth over the next four years, then this could be the opportunity for you!
The Data Engineering Manager is primarily responsible for leading the data engineering team. This role is pivotal in managing project timelines, coordinating with various departments, and ensuring alignment with our business objectives. The ideal candidate will possess strong leadership and project management skills, with a deep understanding of data engineering principles and technologies.
You Want :
- To join an organization that will allow you to do innovative work and help shape its future technology roadmap.
- Work in an environment that allows you to collaborate and interface with business stakeholders, solve technology challenges, gives you the ability to leverage your strengths as a Data Engineering Manager and lead the data engineering strategy across the organization.
- Be a part of a company that truly values its employees, offers great benefits, and a work / life balance, that allows you to make a difference in the community daily.
You Will :
Build and optimize data pipelines, logic, and storage systems with the latest coding practices and industry standards.Develop high-quality, well-documented, and efficient code adhering to all applicable standards.Collaborate with data analysts, data scientists, and architects to enhance data acquisition, transformation, and organization processes.Write unit, integration tests, and functional automation; develop solutions to address problems discovered by quality assurance.Research emerging data technology applications and integration frameworks to continuously improve the data engineering practices.Oversee and manage a team of data engineers, ensuring effective collaboration and productivity. Provide leadership support for engineers, including mentoring, team building, and coaching.Manage project timelines, scope, estimate, and schedule project work. Coordinate between departments to ensure successful project delivery.Design and architect scalable, secure, and efficient data solutions. Guide the technical direction of the team, ensuring adherence to best practices.Build and maintain enterprise data products including data ingestion, storage, organization, and cloud data products. Implement and maintain ETL processes to ensure accurate and timely data flow.Automate and manage infrastructure and deployments to ensure reliability and scalability through DevOps practices.Ensure data quality, integrity, and compliance with relevant regulations through effective data governance practices. Build governance framework for cloud data storage and usage for enterprise data warehouse.Collaborate on cross-functional agile teams that include Software Engineers, Data Scientists, ML Engineers, Data Analysts, DevOps Engineers, and Product Owners to implement the next generation of enterprise applications.Provide technology leadership to development teams and other leaders. Participate in architectural discussions, iteration planning, and feature sizing meetings. Stay abreast of Analytics technology trends and industry best practices.You Have :
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.Minimum of 5 years of experience in data engineering with at least 3 years in a leadership role.Strong problem-solving skills and attention to detail.Excellent communication and interpersonal skills.Proven ability to lead and manage a team of data engineers. People management experience.Strong skills in managing timelines, resources, and deliverables.Ability to align data engineering projects with business objectives.Deep understanding of data architecture, ETL processes, and big data processing.Proficiency in AWS services (S3, SageMaker, Redshift, EMR) and Databricks.Experience in designing and implementing scalable, secure, and efficient data solutions.Hands-on experience with SparkFamiliarity with data warehousing tools like Redshift, BigQuery, and Snowflake.Experience with tools like Airflow, Informatica, and Talend.A strong command of physical / logical database design in SQL Server and MySQL.Proficiency using Python for ETL and data manipulation.Familiarity with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform.Experience working with Git and Power BI.Knowledge of data governance and security best practices in AWS.Willingness to work in an office environment daily and to work for any US Based employer.Catch Talent is a high-touch recruiting agency that delivers end-to-end talent acquisition solutions to growing technology, digital media, and professional services companies. Headquartered in Charleston, SC, Catch brings decades of technical recruiting expertise to both local and national clients and offers a full range of flexible solutions, including direct placement hiring, recruitment process outsourcing, contract, and contract-to-hire models. Catch specializes in the full talent attraction lifecycle by sourcing and recruiting qualified candidates who are interview-ready, culturally aligned, and ready to make an immediate impact - learn how at catchtalent.com.
Catch Talent provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
