Data Architect-GCP

Saviance

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of professional experience in ETL pipeline architecture and optimization
  • Proficient in GCP architecture and data governance practices
  • Strong analytic and data modeling skills
  • Exceptional attention to detail and data integrity ownership
  • Expertise in designing scalable GCP environments
  • Ability to communicate effectively between technical and non-technical teams
  • Experience with distributed systems and microservices design

Responsibilities

  • Design and implement microservices on AWS and GCP
  • Lead the migration process from AWS to GCP, utilizing ELT/ETL methods
  • Build scalable and fault-tolerant ETL pipelines
  • Ensure data integrity and quality in new release processes
  • Mentor and provide technical leadership to junior data engineers
  • Collaborate with architects to maintain core data systems with high availability
  • Define technical directions for data systems with cross-team collaboration

Benefits

  • Fully remote work opportunity
  • Opportunity to mentor junior engineers
  • Engagement in cutting-edge cloud technologies
  • Potential influence on future data system design
  • Collaboration with diverse teams across the organization
Full Job Description
Data Architect-GCP
Boston, MA- entirely remote

About the Job:

The Data Team designs, builds, and maintains the integrated platform that securely procures and links critical business data from disparate internal and external sources. This involves assimilating all structured, unstructured, and semi-structured data. The Data Engineer will touch all aspects of the data operation, in particular, data infrastructure, to ensure a robust, efficient, and consistent foundation for enterprise consumption & application development.

Responsibilities:
  • Design with MicroServices in AWS and GCP
  • Architect the migration from AWS to GCP - ELT/ETL skills
  • Skilled in implementing GCP BigQuery
  • Build robust, scalable, and fault-tolerant ETL pipelines that allow flexibility and efficiency with minimum overhead and maintenance
  • Responsible for data integrity and consistency and quality of new releases
  • Provide mentorship and technical leadership to junior data engineers of the team
  • Work with other architects and engineers to define, execute, and update core data systems while maintaining a high level of availability and transactional correctness..
  • Help define future technical directions for data systems in collaboration with senior management, product management, and stakeholders.


Minimum Job Qualifications:
  • 7+ years of full-time professional experience in architecting, building and optimizing ETL pipelines and data warehouse to onboard and streamline data cleansing, transformation, standardization and aggregation processes with thoughtful design mindset centered around flexibility, robustness, computing efficiency and maintenance
  • Excellent and proven abilities in:
    • Analytic skills
    • GCP architectural skills
    • Data governance
    • Security
    • data modeling
  • Proven track record of owning data integrity and QA, with an exceptional attention to detail
  • Expert at data modeling and system design
  • Expert in designing GCP environments.
  • Comfort in working in a fast-paced environment with moving targets and changing priorities
  • Proven ability to speak both business and technology, and effectively liaison with both teams
  • Demonstrated expertise in Information Architecture, Data Engineering, and data warehousing
  • Strong experience designing distributed systems for scale and high availability.
  • Extensive experience in designing microservice based applications and data pipelines, concepts of ETLs.
  • Deep experience with AWS and GCP

Preferred Job Qualifications:
  • Direct experiences with GCP BigQuery
  • Hands-on experiences with web analytics, 3rd party augmentation data, and A/B testing is a plus
  • Experience in hosting, provisioning, and maintaining database servers in cloud environment, preferably GCP, is a plus

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