22 days ago
Base Salary
$110k - $209k/yr
Responsibilities
- Own and evolve enterprise cloud data platform architecture, including Lakehouse, data mesh, data fabric, event-driven, batch, and real-time processing patterns.
- Lead and mentor developers and direct a large offshore team across multiple time zones.
- Set technical direction, priorities, standards, roadmaps, and architecture quality expectations.
- Review technical designs and enforce architecture principles, peer reviews, compliance evidence, and documentation standards.
- Define data contracts and establish data quality, observability, lineage, metadata, governance, and reusable data product practices.
- Design platforms for scalability, reliability, performance, disaster recovery, security, privacy, and cost optimization.
- Collaborate with development, infrastructure, and security teams on implementation and integration points.
- Evaluate tooling, implement validation scripts, and streamline automation and documentation workflows.
- Maintain architecture repositories, models, guidelines, design decisions, and audit preparation materials.
- Deliver project outputs that meet acceptance criteria and compliance requirements while communicating progress and issues to stakeholders and leadership.
Requirements
- Bachelor’s degree plus 7 years of experience, master’s degree plus 6 years of experience, or PhD plus 2 years of experience.
- Significant hands-on experience building and operationalizing enterprise-scale cloud big data platforms.
- Strong knowledge of modern data engineering architectures, cloud-native data platforms, Lakehouse architecture, data mesh, data fabric, event-driven architectures, and batch and real-time processing.
- Experience with open table formats and interoperable data ecosystems such as Apache Iceberg, Delta Lake, or Apache Hudi.
- Experience building reliable data pipelines, data products, and reusable platform services.
- Knowledge of data quality, observability, lineage, metadata management, data governance, data security, privacy, identity and access management, encryption, regulatory requirements, and responsible data use.
- Experience designing for scalability, reliability, performance, disaster recovery, and cost optimization.
- Familiarity with dbt, Airflow, Dagster, Prefect, or comparable data development and orchestration technologies.
- Experience with serverless architectures including Kubernetes, AWS EKS, and AWS Fargate.
- Ability to mentor engineers, lead cross-functional teams, influence technical direction, and drive initiatives to completion.
- Strong written and oral communication skills and the ability to explain technical concepts to non-technical stakeholders.
- Ability to work autonomously, manage stakeholder expectations, and communicate clearly with leadership.
- Preferred experience includes Cloudera Data Platform or another legacy big-data environment, pharmaceutical or regulated-industry experience, international development teams, graph databases, and GraphQL.
Benefits
- Comprehensive benefits package including paid time off, medical, dental, vision insurance, and 401(k) for eligible employees.
- Eligible to participate in long-term incentive programs.
- Travel required approximately 5% of the time.
- Base salary range is $109,500 to $208,500 yearly.
- Equal opportunity employer with reasonable accommodation support for applicants.
Tech Stack
Categories
Data Engineering