Description

Key Responsibilities
Technical Leadership

• Lead and mentor a team of data engineers and ETL developers in the delivery of cloud-native data solutions.
• Provide technical direction, architectural guidance, and best practices for ETL development and data integration initiatives.
• Conduct design reviews, code reviews, and solution assessments to ensure scalability, maintainability, security, and performance.
• Collaborate with project managers, business stakeholders, architects, and application teams to define delivery roadmaps and technical strategies.
• Drive Agile/Scrum delivery processes and ensure successful execution of sprint commitments.
• Data Architecture & Solution Design
• Design scalable, secure, and high-performance data architectures on AWS.
• Architect enterprise ETL/ELT pipelines for batch and real-time data processing.
• Define data ingestion, transformation, storage, and consumption patterns across structured and unstructured data sources.
• Establish enterprise data modeling standards, metadata management practices, and data governance frameworks.
• Develop reusable frameworks, accelerators, and reference architectures for cloud data engineering initiatives.

AWS Data Engineering & ETL Development
Design and implement ETL workflows using AWS-native services such as:

• AWS Glue
• AWS Lambda
• Amazon S3
• Amazon Redshift
• Amazon EMR
• AWS Step Functions
• Amazon Athena
• Amazon RDS
• AWS Lake Formation
• Build and optimize large-scale data pipelines and orchestration frameworks.
• Ensure data quality, lineage, monitoring, observability, and operational supportability of ETL solutions.
• Optimize cloud performance and cost efficiency across AWS data services.
• Stakeholder & Cross-Functional Collaboration
• Partner with business and analytics teams to translate requirements into technical solutions.
• Work closely with cybersecurity, infrastructure, and enterprise architecture teams to align with organizational standards.
• Provide status updates, technical documentation, and executive-level communication regarding solution delivery and risks.
• Support production deployments, incident resolution, and continuous improvement initiatives.

Required Qualifications

• Bachelor s degree in Computer Science, Information Systems, Engineering, or related field.
• 8 years of experience in data engineering, ETL development, or data architecture.
• 3 years of experience leading technical teams or serving in a technical lead capacity.
• Strong hands-on experience with AWS cloud services and data platforms.
• Deep expertise in ETL/ELT architecture and implementation.
• Strong proficiency in SQL and Python.
• Experience with cloud-based data lakes, data warehouses, and distributed processing frameworks.
• Experience with DevOps, CI/CD pipelines, and Infrastructure as Code.
• Strong understanding of data governance, security, and compliance best practices.
• Excellent analytical, communication, and leadership skills.
• Preferred Qualifications
• AWS Certified Solutions Architect, AWS Data Analytics Specialty, or related AWS certifications.
• Familiarity with Apache Spark and distributed computing frameworks.
• Experience supporting analytics, reporting, and AI/ML workloads.
• Experience working in regulated industries such as utilities, energy, healthcare, or financial services.

Technical Skills

• Cloud & AWS
• AWS Glue
• AWS Lambda
• Amazon S3
• Amazon Redshift
• Amazon Athena
• Amazon EMR
• AWS IAM
• AWS Step Functions
• AWS Lake Formation

Programming & Tools

• Python
• SQL
• PySpark
• Shell scripting
• Terraform / CloudFormation
• Git
• Jenkins / GitHub Actions

Data Technologies

• ETL/ELT
• Data Warehousing
• Data Lakes
• Data Modeling
• Metadata Management
• Data Governance
• Leadership Competencies
• Technical leadership and mentoring
• Strategic thinking and architecture planning
• Problem-solving and decision-making
• Team collaboration and communication
• Delivery and execution focus

Key Skills

Education

Bachelor's degree