Data Solutions Architect – Google Cloud Platform; GCP

Position: Data Solutions Architect – Google Cloud Platform (GCP)
Job Title:

Data Solutions Architect – Google Cloud Platform (GCP)

Location:

Noida/ Bangalore
Job Type:  Full Time

Experience:

7+ Years
Industry:  IT Services & Analytics

Job Description
We are seeking a highly experienced and strategic Data Solutions Architect – Google Cloud Platform (GCP) to join our technology team. This pivotal role will be responsible for leading the design, architecture, and implementation of highly scalable, secure, and performant data solutions on GCP. The ideal candidate will possess deep expertise in GCP's comprehensive suite of data services, modern cloud data architecture patterns, and best practices in data engineering.

You will be instrumental in translating complex business requirements into robust technical solutions, collaborating extensively with cross-functional teams to drive innovation, ensure data reliability, and support advanced analytics and AI initiatives that deliver significant business value.

Your Role and Responsibilities

• Lead Data Architecture on GCP:
Architect and design end-to-end data solutions leveraging a wide array of GCP services including Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer, and Data Catalog.

• Data Platform Development & Optimization:
Design, build, and maintain scalable, robust, and secure data platforms for ingestion, processing, storage, and analytics of all data types. Continuously optimize data warehouse and lakehouse performance through advanced schema design, partitioning, clustering, and query optimization techniques in Big Query.

• Solution Design & Implementation:
Translate complex business requirements into clear technical architectures, detailed data models, and implementation plans, ensuring alignment with organizational standards and best practices.

• Integration & ETL/ELT Pipelines:
Develop, optimize, and orchestrate robust data pipelines using GCP-native tools like Dataflow, Dataproc, Dataprep, and Cloud Composer (Apache Airflow), along with integrating third-party ETL/ELT solutions.

• Data Governance & Security:
Define, implement, and enforce comprehensive data governance, security, and compliance frameworks across all GCP data assets, utilizing services such as IAM, encryption, Cloud DLP, VPC Service Controls, and audit logging.

• Cloud Migration Leadership:
Lead and support the migration of legacy data platforms to GCP, ensuring seamless transition, minimal disruption, and adherence to enterprise standards.

• Technical Leadership & Mentorship:
Provide strong technical leadership, guidance, and mentorship to data engineering teams, fostering adoption of best practices for data solution design, development, and deployment on GCP.

• Innovation & Best Practices:
Stay at the forefront of the latest GCP data technologies and industry trends. Champion and implement innovative solutions, architectural patterns, and best practices for cloud data architecture and engineering.

• Collaboration & Stakeholder Management:
Collaborate effectively with data engineers, analysts, data scientists, and business stakeholders at all levels to deliver high-quality, impactful data solutions.

• Quality Assurance & Observability:
Establish and enforce robust data validation, monitoring, and quality assurance processes to maintain high data integrity. Implement comprehensive monitoring, logging, and alerting solutions using tools like Cloud Monitoring and Cloud Logging.
Required Technical and Professional Expertise

• Architectural Acumen:
Deep understanding of cloud-native data architectures, distributed systems, streaming and batch data processing, and event-driven design patterns.

• Problem-Solving & Analytical:
Strong analytical mindset with exceptional problem-solving skills and meticulous attention to detail, with a bias towards performance, scalability, and cost optimization.

• Communication & Influence:
Excellent communication skills with the proven ability to present complex technical concepts clearly and concisely to diverse audiences, including technical teams, business stakeholders, and executive leadership, while effectively influencing technology direction.

• Leadership &

Collaboration:

Strong leadership capabilities,…