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Specialized senior data role with hybrid AI and multi-tenant requirements reduces broad applicant competition.
Requires deep data-platform, hybrid AI, and industry ERP knowledge, making cross-industry transfers difficult.
Explicit 10+ years requirement, lead experience, and many mandatory platform skills create a high shortlist filter.
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Own end-to-end architecture and scalability of Amtech Cloud Data Platform (ACDP) supporting analytics, ML, and AI agent use cases.
Lead design, governance, and technical direction of multi-tenant data warehouses, tenant registries, and hybrid AI data layers ensuring data security and routing between cloud, hybrid, and on-prem environments.
Mentor data engineering team, set engineering standards, drive automation, and engage with cross-functional stakeholders on platform roadmap and AI data enablement.
Bachelor's degree in Computer Science, Software Engineering, or related field.
10+ years in data engineering/software development with 3+ years in technical lead or architect role.
Expertise with data warehousing platforms (e.g., Snowflake, Redshift, BigQuery), programming in Python/Java/Scala, orchestration tools (Airflow, dbt, AWS Glue), and cloud platforms (AWS, Azure, GCP).
Experience with big data frameworks (Spark, Flink), streaming tools (Kafka, Kinesis), advanced SQL/NoSQL, and data governance standards.
Experienced leader in designing and implementing multi-tenant data architectures and hybrid AI data platforms balancing cloud acceleration and on-prem control.
Strong technical skills in large-scale, complex data pipelines and hybrid cloud/on-prem deployment models supporting AI and ML workloads.
Demonstrated ability to set data security, classification, governance, and observability standards while mentoring teams and collaborating across functions.