AVP, Data Platform Engineer

Overview
AVP, Data Platform Engineer - SRE, Data Strategy Group role at GIC. GIC is one of the world's largest sovereign wealth funds with a global presence and a focus on building a data-driven organization.
What you will do as a Data Platform Engineer
You will join the Data Strategy Group (DSG) with a strong focus on Site Reliability Engineering (SRE) to enhance the reliability, availability, and performance of our enterprise data platforms. You will apply SRE best practices to automate operational tasks and ensure seamless integration within our ecosystem. You will participate in software engineering activities for fast-moving Agile projects using modern DevSecOps practices (e.g., GitHub, JFrog, Jira) and gain exposure to data platforms (e.g., Snowflake/Databricks, distributed query engines, business intelligence).
Responsibilities
Operational Excellence: Provide production support (incident and emergency response management, availability management, change management, configuration management) and documentation for data infrastructure platforms.
Automation: Identify opportunities to automate operational tasks, streamline deployment via CI/CD, monitoring, and incident response processes.
Monitoring & Observability: Design and implement mechanisms to gather metrics and metadata from monitoring systems (e.g., Datadog) to drive performance tuning and fault diagnosis.
Performance Optimization: Analyze system performance and implement enhancements to improve operational efficiency (e.g., CPU utilization, latency).
Securing by Design: Collaborate with internal security and infrastructure teams to ensure secure architectural design for data platforms.
Collaboration: Work with investment and technology professionals across departments.
What makes you a successful candidate
We are seeking a candidate with a passion for data and a desire to help build GIC's data foundation and infrastructure.
6+ years of relevant technology experience, preferably in financial risk services or asset management, with experience leading software development teams.
Hands-on engineering experience in:
Programming languages (e.g., Python, Java, C#/.NET Core)
SQL and relational databases (e.g., Snowflake, Postgres, Oracle)
Scripting for automation (e.g., Bash, PowerShell)
Monitoring tools (e.g., Datadog, Splunk, CloudWatch)
Cloud technologies and Infrastructure as Code (e.g., AWS, EKS, S3, Kubernetes, Terraform, KMS)
Distributed query technologies (preferred) (e.g., Denodo, Presto/Trino, Starburst, Athena)
Data storage & ETL/ELT processing (e.g., data lakes, data warehousing) – optional
Experience in incident management, capacity management, system and security administration, and database/network management, with automation experience notated via scripting (e.g., Python, Bash).
Willingness to learn, attention to detail, and strong passion for technology and/or finance.
Strong communication skills across technical and non-technical audiences.
Ability to collaborate with cross-departmental partners to deliver business outcomes.
Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) or equivalent is advantageous.
Work Environment and Values
We are an equal opportunity employer and value diversity. We do not discriminate on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability. Reasonable accommodations are available for applicants with disabilities. Learn more about our Data Strategy Group and PRIME values (Prudence, Respect, Integrity, Merit, Excellence).
Flexibility at GIC: Our offices are hubs for collaboration; teams come into the office four days per week with flexibility to work from home as needed.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Project Management, Analyst, and Information Technology
Industries
Investment Management and Financial Services
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