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Lead enterprise data architecture on AWS, designing scalable batch and real-time data platforms, data lake/warehouse/lakehouse solutions, governance and security frameworks, and mentoring engineering teams while aligning architecture with business strategy.

Lead enterprise data architecture on AWS, designing scalable lake/warehouse/lakehouse platforms, ETL/ELT pipelines, governance, security, and performance standards. Provide technical leadership, mentor teams, run architecture governance, and align data strategy with business goals.

Operate and configure data classification and governance tools to scan databases, identify sensitive information, apply appropriate labels, prepare client-facing classification reports, support audits, act as technical contact for client reviews, and collaborate with IT/DB teams to remediate mislabelled files and security gaps.

The Senior Data Engineer role involves designing and optimizing cloud-based data pipelines on AWS, implementing ETL solutions, and collaborating with cross-functional teams to enhance data platforms.

The Senior Data Engineer will design and develop scalable cloud-based data pipelines, optimize ETL processes, and manage Snowflake architecture.

Design, implement, and manage large-scale production Azure environments. Build and maintain CI/CD pipelines, apply DevSecOps practices, automate infrastructure with Terraform/Bicep/ARM, manage containers and orchestration (Docker, Kubernetes, Helm, FluxCD, ArgoCD), monitor with Dynatrace/Prometheus/Grafana, script in PowerShell/Python/Bash, support Azure AI/ML platforms, and optimize performance, security, and cost for microservices and serverless architectures within Agile teams.

Seeking a hands-on DevOps Engineer with 4-6 years of experience to manage cloud infrastructure and CI/CD pipelines, support backend systems, and troubleshoot application layers.

Design, implement, and manage cloud infrastructure, CI/CD pipelines, and DevSecOps practices using Azure and automation tools. Collaborate in Agile environments.

Lead 2-3 cross-regional teams (5-8 people each) to deliver mobile, web, integration, and data-migration projects from concept through implementation. Translate client specifications into tasks and timelines, drive code quality improvements, manage client expectations, create and monitor project plans, report milestones, enforce ISMS/security processes, and promote automation and Agile practices.

Lead multiple cross-regional software teams (2–3 teams of 5–8 each) through full project lifecycle from scoping to delivery. Translate customer specifications into tasks and timelines, enforce high code quality and best practices, manage client relationships and expectations, and continuously improve processes and automation. Monitor progress, report milestones, assess and mitigate risks, and ensure adherence to ISMS and security incident reporting.