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Highly specialized senior role reduces competition, but remote work modestly increases candidate pool.
Skills tied to lakehouse architectures, Databricks, and data governance make cross-industry transferability low.
Multiple mandatory technologies and explicit 8+ years make filtering strict.
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Lead architecture and design of a modern, high-performance data platform supporting 1,000+ concurrent users with cost-effective, secure solutions.
Define standards, coding practices, CI/CD, and governance frameworks including automated PII discovery, security, and auditability for data pipelines.
Technical stewardship through deep code/design reviews, mentoring senior engineers, and maintaining architectural decision records for long-term platform evolution.
8+ years of experience in Data Engineering or Architecture delivering production-grade Lakehouse environments.
Expertise with Databricks Lakehouse or Unity Catalog and high-performance data warehouses like Amazon Redshift or Snowflake.
Proficient with open-table formats (Apache Iceberg or Delta Lake), dbt Core, PySpark/Python, Apache Airflow, and cloud ecosystems (AWS/Azure/GCP).
Work Mode: Remote. Work Experience Required: 8+ years. Notice Period: Not explicitly mentioned in the JD.
Has deep technical expertise and leadership in architecting scalable, cloud-based data platforms emphasizing cost optimization and performance at large scale.
Experienced in bridging complex technical systems with business needs by articulating architectural trade-offs and roadmaps to executive stakeholders.
Strong background in managing both fixed-resource infrastructure and elastic serverless environments leveraging Kubernetes for orchestration and deployments.