Offer summary

Qualifications:

7+ years of experience in architecting and optimizing ETL pipelines and data warehouses., Proven skills in GCP architecture, data governance, and security., Expertise in data modeling and system design, particularly in GCP environments., Strong analytical skills and ability to communicate effectively with both business and technology teams..

Key responsibilities:

Design and implement MicroServices in AWS and GCP.

Architect the migration from AWS to GCP, focusing on ELT/ETL processes.

Build scalable and fault-tolerant ETL pipelines while ensuring data integrity and quality.

Provide mentorship to junior data engineers and collaborate with other architects to define core data systems.

Job description

Job: Data Architect- Modeling & Security
Duration- 12+ Months (Possibility of extension)
Location-Fully Remote
No Sponsorship at this time!

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 Architect 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.
Experience working with Airflow
Deep experience with AWS and GCP