Senior Consultant

Solution Design & Development

• Architect, design, and implement large-scale, high-volume, high-performance, and highly available data solutions and pipelines on the Databricks Lakehouse platform within AWS Cloud.
• Develop and maintain data lakes, lakehouses, and data warehouses across on-premises and cloud environments.
• Build robust ETL processes and analytics solutions to support business needs.

Data Engineering & Governance

• Manage the full data lifecycle, including ingestion, ETL, pruning, modeling, and governance, ensuring compliance with regulatory requirements.
• Partner with data owners and platform teams to establish a single source of truth leveraging modern data architecture principles.

Technical Expertise

• Deep understanding of Databricks architecture and AWS native services.
• Strong programming skills in Python and related frameworks, with a focus on scalability, reliability, and performance optimization.
• Implement CI/CD pipelines, automated testing, and code review best practices.
• Apply security best practices for secure application development.

Collaboration & Leadership

• Drive technical decision-making, balancing business priorities, technical constraints, and user experience.
• Identify process inefficiencies and lead continuous improvement initiatives.
• Work effectively with global development and engineering teams.

Preferred Skills

• Experience with financial systems (Oracle Financials, Oracle Fusion Cloud, Hyperion) and optimizing their integration into broader data ecosystems.
• Familiarity with DevOps practices, cloud security models, encryption strategies, and hybrid network architectures.
• Knowledge of cloud data governance, compute optimization, and cost control.
• Hands-on experience with tools such as Bitbucket, Rally, and Jenkins.
• Exposure to large-scale cloud data migration projects.
• Understanding of SDLC processes, standards, and governance frameworks.
• Proficiency in at least one database technology (Oracle, Exadata, Netezza, SQL Server).

• Strong problem-solving skills and ability to work in an agile environment.
• Excellent communication and collaboration skills to work across global teams.
• Passion for innovation and continuous learning in modern data engineering practices.