Lead Data Engineer (AWS) | Hybrid (4x WFH; 1x RTO)

We are seeking a highly experienced Lead Data Engineer (AWS) to join a growing enterprise technology team. This is a senior, hands-on leadership role responsible for designing, building, modernizing, and operating enterprise-scale data platforms on AWS while providing technical leadership and mentorship to a team of engineers. This position is ideal for someone who enjoys remaining deeply involved in technical delivery while driving engineering standards, solution design, and platform modernization initiatives.

Key Responsibilities

Lead the design, development, and modernization of enterprise data platforms on AWS.Architect and build scalable ETL/ELT, batch, and streaming data pipelines. Develop and maintain data lakes, lakehouses, data warehouses, and analytical data models. Provide technical leadership through solution design, architecture reviews, code reviews, and engineering best practices. Mentor and guide Data Engineers and technical team members. Implement and support data governance, security, monitoring, logging, and operational excellence initiatives. Drive CI/CD, Infrastructure as Code, automated testing, and platform reliability improvements. Collaborate with business stakeholders, architects, and executive leadership on strategic data initiatives. Troubleshoot production issues, perform root-cause analysis, and optimize performance across data platforms. Required

Qualifications

Minimum 10 years of progressive experience in Data Engineering, Data Integration, Data Warehousing, or Enterprise Data Platform delivery. At least 5 years of hands-on AWS production experience designing and implementing enterprise data solutions. At least 3 years in a leadership capacity, such as Lead Data Engineer, Technical Lead, Solution Lead, or equivalent. Strong experience building enterprise-scale:ETL/ELT pipelines

• Batch and streaming data solutions
• Data lakes and lakehouses
• Data warehouses and analytical platforms
• Advanced proficiency in: Python
• SQLGit-based developmentCI/CD practices
• Infrastructure as Code (Terraform or Cloud

Formation)AWS Technologies

Strong experience with several of the following services: Amazon S3AWS Glue

AWS Lambda

AWS Step Functions

AWS DMSAmazon EMRAmazon Athena

Amazon Redshift

Amazon RDS / Aurora

AWS Lake Formation

Glue Data Catalog

Amazon MWAA (Airflow)

Amazon MSKAmazon Kinesis

Additional

Requirements

Strong understanding of AWS security and governance, including IAM, KMS, Secrets Manager, role-based access controls, metadata management, lineage, retention, and audit logging. Experience with data quality frameworks, reconciliation, monitoring, observability, incident management, and production support. Strong communication and stakeholder management skills. Ability to lead architecture discussions and provide technical direction across engineering teams. Preferred

Qualifications

• Experience within highly regulated industries such as: Banking
• Financial ServicesFinTechPaymentsRemittanceLendingInsuranceExperience with the following is highly advantageous: Medallion Architecture

Kafka

• Change Data Capture (CDC)Enterprise Data Governance
• Business Intelligence & Analytics PlatformsAI/ML Data Pipelines
• Preferred AWS Certifications:AWS Certified Data Engineer

AWS Certified Solutions Architect

AWS Certified DevOps Engineer