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Lead Cloud Data Engineer

South Carolina, South Carolina, United StatesHybridFull TimeLeadPosted 2 months ago

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Role summary

We are seeking a Lead Cloud Data Engineer with AWS expertise to design and lead scalable cloud-based data solutions. This hybrid role involves hands-on engineering and leadership, guiding a team of data engineers while collaborating with various stakeholders. The ideal candidate will possess deep knowledge of AWS data services, ETL/ELT pipelines, and big data frameworks, with a proven history of leading technical delivery and mentoring teams.

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
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