Key Responsibilities
Data Platform Design & Delivery
- Design and develop modern cloud-based data platforms leveraging AWS services.
- Build and maintain data ingestion, transformation, and analytics pipelines.
- Support batch processing, streaming, and near real-time data integration requirements.
- Enable scalable analytics, business intelligence, and downstream data consumption solutions.
Architecture & Platform Governance (Architect-Level Focus)
- Define and maintain enterprise-level data platform architecture standards on AWS.
- Design scalable data lake, lakehouse, and data warehouse environments.
- Establish standards for data ingestion, modeling, governance, and access management.
- Ensure solutions align with security, networking, identity management, and cost optimization best practices.
- Provide technical leadership and architectural oversight across delivery teams.
Data Engineering & Analytics
- Develop and optimize ETL/ELT pipelines, data models, and reporting datasets.
- Implement data quality, metadata management, and data lineage practices.
- Support advanced analytics and AI/ML workloads where applicable.
Operations, Security & Optimization
- Implement monitoring, performance tuning, and cost management controls.
- Apply governance and security standards aligned with enterprise policies.
- Support CI/CD processes, environment management, and platform lifecycle activities.
- Maintain technical documentation, operational procedures, and platform standards.
Stakeholder Collaboration
- Work closely with business stakeholders, analysts, engineers, and data teams.
- Provide guidance on AWS data services, architecture decisions, and implementation trade-offs.
- Support mentoring and knowledge sharing within the team, particularly at senior levels.
Qualifications & Experience
Technical Skills
- Strong experience with AWS data and analytics technologies.
- Hands-on expertise with data lakes, data warehouses, and lakehouse architectures.
- Strong SQL and data modeling capabilities.
- Experience with both batch and streaming data processing.
- Understanding of cloud security, IAM, governance, and cloud cost optimization practices
Experience Requirements
AWS Architect
10+ years of experience in data and analytics.
Extensive experience designing large-scale AWS data platforms.
Strong background in cloud architecture, data strategy, and enterprise solution design.
AWS Consultant
6+ years of experience in data and analytics delivery.
Proven experience implementing modern data platforms on AWS.
Strong stakeholder engagement and solution delivery experience.
AWS Developer
4+ years of experience in data and analytics.
Hands-on experience developing solutions using AWS data services.
Strong focus on implementation, development, and technical delivery.
Preferred Certifications
- AWS Certified Data Analytics – Specialty
- AWS Certified Solutions Architect (Associate or Professional)
- AWS Certified Machine Learning – Specialty (preferred)
