Hands-on expertise with data warehouse tools like Snowflake, Databricks, redshift including architecture design, warehouse sizing, RBAC/security implementation, SQL optimization and performance tuning.
Strong Kubernetes (AKS/EKS) engineering skills covering cluster architecture, networking, namespaces, pod security, autoscaling, ingress, operators, and workload troubleshooting.
Advanced experience with Helm for templating, packaging, release automation, and deployment lifecycle management.
Expert-level Infrastructure as Code development using Terraform, including module design, state management, automated provisioning, variable strategies, and CI integration.
Strong Python programming skills for automation, orchestration, data transformations, API scripting, and platform tooling.
Expert-level SQL capabilities including query optimization, stored procedure development, analytical function usage, and schema design.
Strong CI/CD engineering experience using GitHub Actions, including workflow design, automated testing, deployment pipelines, and artifact management.
Deep hands-on experience with Azure and/or AWS cloud services including identity/security management, compute, networking, storage, monitoring, and cost optimization.
Proficiency in implementing platform observability and SRE practices (metrics, logging, alerting, tracing, SLO/SLI development, capacity planning, and incident response).
Strong foundation in data engineering concepts including ELT/ETL pipelines, data modeling, data quality frameworks, and metadata management.
Experience implementing enterprise-grade security controls including encryption, IAM/RBAC governance, secrets management, network segmentation, and audit/compliance frameworks.
Ability to troubleshoot end-to-end platform performance issues across compute, storage, orchestration, network, SQL, Snowflake, and cloud environments.

Responsibilities

Leadership & Delivery Experience
- • Proven experience leading platform build initiatives from architecture through deployment and operationalization. • Ability to mentor junior engineers and provide technical guidance, design reviews, and code reviews. • Track record of driving engineering standards, best practices, and automation maturity across teams. • Experience leading cross-functional collaboration with security, analytics, application, and business stakeholders. • Demonstrated ability to manage competing priorities in fast-paced, enterprise-scale environments. • Strong experience owning incident response and root cause analysis, including postmortem reporting and preventive engineering. • Ability to influence design direction, recommend modern technologies, and drive continuous improvement initiatives. • Comfortable translating complex technical requirements into clear deliverables and timelines.
Soft Skills & Core Competencies
- • Excellent communication—able to simplify complex concepts for business and engineering leadership. • Strong analytical thinking, strategic decision making, and problem-solving skills. • Highly organized with strong documentation discipline (runbooks, design docs, SOPs, architecture diagrams). • Collaborative mindset and ability to work within matrixed global technology teams. • Ownership mentality with accountability for delivery, reliability, and platform uptime. • Continuous learning mindset and drive to stay ahead of emerging technologies.
Preferred / Bonus Skills
- • Experience with DataOps or Platform Engineering frameworks. • Familiarity with Airflow, Databricks, or Azure Data Factory orchestration. • Experience architecting Snowflake cost optimization and workload governance frameworks. • Knowledge of Docker image lifecycle management. • Industry certifications (Azure, AWS, Kubernetes, Snowflake, Terraform).