Top Tech Jobs & Startup Jobs

Implement and administer enterprise data catalog, governance, metadata, classification, and data quality platforms. Configure metadata ingestion, lineage, governance workflows, classification labels, data quality rules, dashboards, and compliance reporting. Collaborate with data owners, stewards, IT, and stakeholders to ensure regulatory compliance (SDAIA, NDMO, PDPL) and drive remediation of data quality issues.

Design and maintain enterprise data architecture, data models, and scalable cloud/hybrid platforms. Build and orchestrate ETL/data pipelines, ensure HA/DR, implement governance, monitoring, performance tuning, and mentor teams to support analytics and self-service data products.

Design and maintain enterprise data architecture, data models, and governance. Build scalable cloud and hybrid data platforms and ETL pipelines (SSIS, Snowflake, OCI). Ensure HA/DR, observability, performance tuning, and security. Collaborate with stakeholders, mentor teams, and evaluate new data technologies.

Build and operate scalable MLOps and AI platform infrastructure: design pipelines, manage model lifecycle/versioning, deploy ML workloads on Kubernetes, automate IaC/CI-CD, monitor model and platform performance, ensure security and reliability, and troubleshoot production issues.

Design, build, and maintain enterprise MLOps platforms and cloud-native AI infrastructure. Automate end-to-end ML pipelines, implement model versioning and registries, deploy workloads on Kubernetes, build CI/CD for ML, monitor model and platform performance, ensure security and reliability, and troubleshoot production issues.

Design, build, and operate scalable MLOps and AI platforms. Automate end-to-end ML pipelines, manage model lifecycle (versioning, registry, experiment tracking), deploy workloads on Kubernetes, implement IaC and CI/CD, monitor platform and model health, and collaborate with data science and engineering teams to troubleshoot and optimize production ML systems.

Design, build, automate, and maintain enterprise platform infrastructure and developer platforms. Develop CI/CD pipelines, deploy containerized applications with Kubernetes, implement GitOps and IaC, manage virtualization and cloud environments, monitor platform performance, enforce security and disaster recovery, and produce operational documentation and runbooks.

Design and implement scalable analytics solutions, build executive dashboards and semantic models, perform behavioral and A/B testing analysis, implement event tracking and QA, conduct post-launch transaction analysis, and collaborate with product, engineering, marketing and business teams to drive data-driven transformation and process optimization.

Design and deliver AI/ML proof-of-concepts and cloud-native prototypes, evaluate emerging technologies, implement automation/orchestration and IaC, collaborate across teams, document architectures, and mentor technical teams to drive innovation and scalable solutions.

Design and deliver AI/ML proofs of concept and cloud-native solutions. Evaluate emerging technologies, build prototypes, implement automation/orchestration, mentor teams, and support architecture and governance to drive innovation and business transformation.