5 дней назад
Senior Cybersecurity Data Engineer (AWS Lakehouse)
159 600 - 239 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Cybersecurity Data Engineer (AWS Lakehouse): Building and securing a centralized AWS data lakehouse for enterprise security telemetry with an accent on Apache Iceberg or Delta Lake, compute infrastructure, governance, and cost optimization. Focus on architecting scalable storage and query layers, implementing IAM and Lake Formation controls, automating infrastructure with Terraform or AWS CDK, and supporting high-volume concurrent analytics.
Location: Reston, Virginia, USA; hybrid work with at least 50% of each quarter spent in the office or in the field
Salary: $159,600–$239,400 USD annual base pay for the primary location; additional U.S. location ranges may apply
Company
is a Fortune 500 company providing an AI platform for managing people, money, and agents.
What you will do
- Lead the design, implementation, and evolution of an enterprise AWS data lakehouse for cybersecurity telemetry.
- Define Apache Iceberg or Delta Lake standards for partitioning, schema evolution, compaction, retention, and storage tiering.
- Design and scale compute and query infrastructure using AWS EMR, Athena, Redshift, and related engines.
- Architect data mart foundations and semantic access patterns for high-concurrency analytics, BI, and reporting.
- Implement governance, network isolation, encryption, and fine-grained access controls with AWS Lake Formation and IAM.
- Automate infrastructure provisioning, deployment, monitoring, capacity planning, and AWS cost optimization.
Requirements
- 7+ years of experience in data platform engineering, cloud infrastructure engineering, or data architecture for 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, Athena, S3 infrastructure, and AWS Lake Formation.
- 3+ years using Terraform or AWS CDK and 3+ years with Snowflake, Databricks, or AWS Redshift, including cluster sizing and workload management.
- Advanced SQL skills and proficiency in Python or Bash for infrastructure automation.
- Must work from the United States; hybrid work requires at least 50% of each quarter in the office or in the field.
Nice to have
- AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer certification.
- Experience with multi-region data lakes, cross-account data sharing, or data mesh architectures.
- Experience with open-source query engines such as Trino or StarRocks.
Culture & Benefits
- Flexible work combines in-person collaboration with remote scheduling.
- Eligibility for the Bonus Plan or role-specific bonus and annual refresh stock grants may apply.
- provides comprehensive benefits and reasonable accommodations during the hiring process.
- is an equal opportunity employer committed to an inclusive workplace.
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