7 days ago
Base Salary
$144k - $258k/yr
Responsibilities
- Lead the design, infrastructure implementation, and evolution of the enterprise AWS data lakehouse.
- Define Apache Iceberg or Delta Lake standards for partitioning, schema evolution, compaction, retention, and storage tiering.
- Design and maintain compute engines and query layers including AWS EMR, AWS Athena, and Redshift.
- Architect foundational infrastructure and access patterns for enterprise data marts and high-concurrency BI workloads.
- Implement data governance, network isolation, encryption, and fine-grained access controls using AWS Lake Formation and AWS IAM.
- Provision, deploy, and version-control the data platform using infrastructure-as-code.
- Monitor AWS data spending and perform capacity planning for data-volume growth.
Requirements
- 7+ years of experience in data platform engineering, cloud infrastructure engineering, or data architecture supporting large-scale enterprise data lakes.
- 3+ years operating Apache Iceberg or Delta Lake in production, with expert knowledge of Parquet, ORC, and metadata layers.
- 3+ years of production experience with AWS EMR, Spark or Presto or Trino tuning, AWS Athena, S3 infrastructure, and AWS Lake Formation.
- 3+ years using Terraform or AWS CDK to provision secure, multi-environment data infrastructure.
- 3+ years with Snowflake, Databricks, or AWS Redshift, including cluster sizing and workload management.
- Advanced SQL proficiency and Python or Bash experience for infrastructure automation.
- AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer certification.
- Experience with multi-region data lakes, cross-account data sharing, data mesh architectures, or open-source query engines such as Trino or StarRocks.
Benefits
- Flexible work arrangement requiring at least 50% of each quarter in the office or field, with remote home-office options.
- Potential eligibility for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Equal opportunity employment, reasonable accommodations, and fair-chance hiring practices.
Tech Stack
Categories
Data EngineeringDevOps
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.