The Role
Lead design, implementation, and governance of enterprise-scale data solutions on GCP using BigQuery and Dataflow. Define data governance, security, and DevOps automation practices. Optimize ETL pipelines in Python, validate architectures, mentor teams, and drive adoption of GCP-native features for scalable, secure, cost-effective data ecosystems.
Summary Generated by Built In
The GCP Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and governing advanced data solutions on Google Cloud Platform (GCP). This role drives the alignment of data architectures with business strategies, leveraging expertise in Google BigQuery, Dataflow, Python, and DevOps to deliver scalable, secure, and high-performance data ecosystems. The position ensures technical excellence, compliance with industry standards, and fosters innovation to support organizational objectives.
Key Responsibilities- Architect Enterprise-Scale Data Solutions Using Google Bigquery And Google Dataflow, Ensuring Alignment With Business Objectives And Industry Best Practices.
- Define And Enforce Data Governance, Security, And Compliance Measures Across Gcp Data Platforms, Leveraging Devops Practices For Automation And Monitoring.
- Lead The Design And Optimization Of Data Pipelines And Etl Processes Using Python And Dataflow, Ensuring Data Quality, Scalability, And Reliability.
- Review And Validate Architectural Deliverables, Providing Expert Guidance To Teams On Gcp-Native Data Modeling, Performance Tuning, And Cost Optimization.
- Drive Adoption Of New Gcp Features And Technologies, Ensuring Continuous Modernization And Relevance Of Data Solutions.
- Mentor And Develop Technical Teams In Gcp Data Architecture, Fostering Knowledge Sharing And Upskilling To Mitigate Delivery Risks.
- Architectural Leadership In Google Bigquery, Google Dataflow, And GcpNative Data Services.
- Expert Proficiency In Designing And Optimizing LargeScale Data Architectures On Gcp.
- Advanced Proficiency In Python For Data Engineering And Automation Tasks.
- Solid Understanding Of Devops Practices For Ci/Cd, Infrastructure As Code, And Monitoring Within Gcp Environments.
- InDepth Knowledge Of Data Governance, Security, And Compliance Frameworks Relevant To Cloud Data Platforms.
- Excellent Ability To Translate Business Requirements Into Scalable And Secure Technical Solutions.
- Recommended: Google Cloud Professional Data Engineer Or Google Cloud Professional Cloud Architect Certification
Skills Required
- Architectural leadership in Google BigQuery, Google Dataflow, and GCP-native data services
- Expert proficiency designing and optimizing large-scale data architectures on GCP
- Advanced proficiency in Python for data engineering and automation
- Solid understanding of DevOps practices for CI/CD, Infrastructure as Code, and monitoring within GCP
- In-depth knowledge of data governance, security, and compliance frameworks for cloud data platforms
- Ability to translate business requirements into scalable and secure technical solutions
- Google Cloud Professional Data Engineer or Google Cloud Professional Cloud Architect certification
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The Company
What We Do
NexusCorp LLC (operating as Nexus Corporation) helps businesses achieve their goals through custom software development, IT consulting, statement-of-work delivery, contingent workforce and direct-hire solutions, and payroll services. It designs, builds, tests, and maintains scalable digital applications; analyzes systems to improve technology use; and supplies specialized professionals and structured project delivery. Its client-first approach emphasizes compliance, integrity, innovation, and tailored business outcomes.
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