Job Description
Job Title: Lead Cloud Data Engineer
Locations: Fort Mill, SC or New York City, NY (Hybrid/Onsite)
Type: Full Time
Job Summary
We are looking for a highly experienced Data Engineer – AWS Tech Lead to design and lead scalable cloud-based data solutions. This role will combine hands-on engineering with leadership responsibilities, guiding a team of data engineers while collaborating with architects, product owners, and business stakeholders. The ideal candidate will have deep expertise in AWS data services, ETL/ELT pipelines, and big data frameworks, with proven experience in leading technical delivery.
Key Responsibilities
- Lead the design, development, and deployment of large-scale data pipelines and solutions on AWS.
- Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization.
- Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda.
- Drive development of ETL/ELT processes using PySpark, Python, and SQL.
- Implement and enforce data governance, quality checks, and security standards across the platform.
- Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions.
- Optimize cost and performance of AWS-based data workloads.
- Troubleshoot production issues and ensure high availability of data pipelines.
- Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead.
Required Qualifications
- 13+ years of experience in Data Engineering, with at least 4+ years in a technical leadership role.
- Strong expertise in AWS data services: Glue, S3, Redshift, Athena, Lambda, Step Functions, EMR.
- Proficiency in PySpark, Python, and SQL for large-scale data processing.
- Solid experience in data modeling (star, snowflake, dimensional modeling) and data lake/warehouse architectures.
- Proven track record in leading and mentoring data engineering teams.
- Strong understanding of Agile methodologies and CI/CD practices for data pipelines.
Preferred Qualifications
- Experience in BFSI / Wealth Management domain.
- AWS Certification (Data Analytics Specialty, Solutions Architect, or Big Data).
- Familiarity with containerization (Docker, Kubernetes) and orchestration frameworks.
Education
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
- Master’s degree preferred.
