Overview
Technical Expertise
- 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).
Qualifications
Education :
Bachelors/Masters in Computer Science, Information Technology.
