Manage, coach, and grow multiple agile teams (data engineering, platform engineering, SRE/DevOps, QA) to deliver high-quality, resilient data capabilities; build a culture of talent development, engineering excellence, psychological safety, and continuous improvement
Define and drive the roadmap for GCP-based data platforms (BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog)
Lead the migration of legacy data pipelines, warehouses, and integration workloads to GCP (including CDC, batch & streaming, API-first data products, and event-driven architectures)
Partner with enterprise, data, and security architects to align on target state architecture, data modeling (dimensional, Data Vault), and domain-driven data products; establish and enforce DataOps and DevSecOps practices (CI/CD, IaC/Terraform, automated testing, observability)
Embed defense-in-depth—VPC Service Controls, private IP, CMEK/Cloud KMS, DLP, IAM least privilege, tokenization, data masking, and lineage; ensure adherence to financial services regulations and standards (e.g., SOX, GLBA, BCBS 239, model governance)
Define SLOs/SLIs, runbooks, incident response, capacity planning, and performance tuning for BigQuery/Dataflow/Spark workloads; optimize cost and performance via partitioning/clustering, workload management, autoscaling, and right-sizing
Influence senior technology leaders and business stakeholders; translate business needs into platform roadmaps and measurable outcomes; manage budgets, resource plans, and strategic vendor/partner engagements
Scale onboarding of lines of business to the platform, including templates, blueprints, guardrails, and self-service developer experience

Requirements

6+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
3+ years of direct report management experience of multi-disciplinary engineering teams including, but not limited to, assigning tasks, conducting performance evaluations and determining salary adjustments
6+ years hands-on in data engineering and platform build-outs using modern stacks and automation
4+ years of production experience on GCP with several of: BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog
6+ years of experience with programming and data skills: SQL plus one or more of Python, Java, Scala; solid understanding of data modeling and data quality frameworks
4+ years of experience with DevOps/DataOps proficiency: CI/CD, Terraform/IaC, automated testing, observability, GitOps
6+ years of experience leading large-scale data platform migrations or modernizations in regulated environments
3+ years leading AI/ML and Generative AI data initiatives

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringGCPBigQueryDataflowApache BeamPub/SubDataprocSparkSQLPython

Soft Skills

managementleadershipcoachingcommunicationinfluencestrategic planningperformance evaluationtalent developmentpsychological safetycontinuous improvement