Join our team as a Senior Consultant specializing in Data Platform Engineering. You will architect, build, and support enterprise-level data platforms using AWS, Databricks, and Snowflake. This role is crucial for developing cloud-native capabilities, establishing reusable engineering patterns, and ensuring platform reliability and security. Collaboration with architects, engineering teams, and business stakeholders is key to delivering scalable and resilient data solutions.

This position demands strong technical expertise and the ability to translate complex requirements into robust data platform solutions.

Key responsibilities include designing and implementing scalable, secure, and high-performance data platforms on AWS and Databricks. You'll develop reusable platform services, frameworks, and automation to expedite data product delivery and support cloud-native architectures aligned with enterprise standards. This includes managing common platform patterns such as auditing, logging, data lineage, metadata management, monitoring, and security controls.

Develop secure, scalable data movement and orchestration solutions, enabling interoperability across the data lifecycle. Ensure platform reliability, scalability, and operational readiness, implementing monitoring, alerting, and incident management processes. Apply security best practices and optimize platform performance and reliability. Collaborate closely with cross-functional teams, providing technical guidance and contributing to engineering standards and documentation.

We are seeking candidates with over 7 years of experience in Data Engineering, Cloud Engineering, or Data Platform delivery. Essential hands-on experience includes AWS services like S3, IAM, Lambda, Glue, CloudWatch, KMS, EventBridge, and Step Functions, alongside Databricks data platform design and administration.

Proficiency in Snowflake architecture, Data Lake, Lakehouse concepts, and modern cloud-native data platform architectures is required. Experience with data observability, lineage, auditing, and monitoring solutions is crucial. You should also have hands-on experience with Infrastructure-as-Code (Terraform/CloudFormation) and CI/CD pipelines, coupled with a strong understanding of cloud security, governance, and operational support models. Troubleshooting and performance optimization skills for cloud platforms are also necessary.