Join our rapidly expanding team as a hands-on Cloud Data Analytics Platform Engineer and play a pivotal role in shaping the future of data at Citi. We're building a cutting-edge, multi-cloud data analytics platform that empowers our users with secure, scalable, and efficient data insights. This role sits at the intersection of infrastructure, data engineering, and architecture, offering a unique opportunity to work with the latest cloud-native technologies and influence our data strategy.
What You'll Do:
* Architect and Build: Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience.
* Data Lake, Data Zone, Data Governance: Design, build, and manage data lakes and data zones within our cloud environment, ensuring data quality, discoverability, and accessibility for various downstream consumers. Implement and maintain enterprise-grade data governance capabilities, integrating with data catalogs and lineage tracking tools to ensure data quality, security, and compliance.
* Infrastructure as Code (IaC): Champion IaC using Terraform, and preferably other tools like Harness, Tekton, or Lightspeed, developing modular patterns and establishing CI/CD pipelines to automate infrastructure management and ensure consistency across our environments.
* Collaboration and Best Practices: Work closely with data engineering, information security, and platform teams to define and enforce best practices for data infrastructure, fostering a culture of collaboration and knowledge sharing.
* Kubernetes and Orchestration: Manage and optimize Kubernetes clusters, specifically for running critical data processing workloads using Spark and Airflow.
* Cloud Security: Implement and maintain robust security measures, including cloud networking, IAM, encryption, data isolation, and secure service communication (VPC peering, PrivateLink, PSC/PSA).
* Snowflake and Databricks (Optional, but highly desired): Leverage your experience with Snowflake and Databricks to enhance our data platform's capabilities and performance.
* Event-Driven Architectures, FinOps and Cost Optimization (Optional): Contribute to the development of event-driven data pipelines using Kafka and schema registries, enabling real-time data insights and responsiveness. Apply FinOps principles and multi-cloud cost optimization techniques to ensure efficient resource utilization and cost control.
What You'll Bring:
* Hands-on Engineering Expertise: You're a builder who enjoys diving into the technical details and getting your hands dirty. You thrive in a fast-paced environment and are eager to make a direct impact.
* Experience: 8-13 years of relevant experience in Data Engineering & Infrastructure Automation
* Cloud Expertise: Proven hands-on experience with AWS and/or GCP, including a deep understanding of their data analytics service offerings.
* Data Lake/Zone/Governance Experience: Demonstrable experience designing, building, and managing data lakes and data zones. Familiarity with data governance tools and frameworks.
* IaC Proficiency: Solid experience with Terraform and preferably Harness, Tekton, or Lightspeed for CI/CD pipeline management.
* Kubernetes Mastery: Strong command of Kubernetes, especially in the context of data processing workloads.
* Security Focus: A firm grasp of cloud security principles and best practices.
* Financial Services Experience: Experience working in financial services, banking, or on data-related cloud transformation projects within the financial industry.
We offer:
* 27 days annual leave (plus bank holidays)
* A discretional annual performance related bonus
* Private Medical Care & Life Insurance
* Employee Assistance Program
* Pension Plan
* Paid Parental Leave
* Special discounts for employees, family, and friends
* Access to an array of learning and development resources
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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