Reflections Info Systems - Senior Data Architect - Google Cloud Platform (10-20 yrs)

Job Description :

We are looking for candidates with 7+years of experience in data architect role.

Responsibilities include :

- Design and implement scalable, secure, and cost-effective data architectures using GCP.

- Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage.

- Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP.

- Ensure data architecture aligns with business goals, governance, and compliance requirements.

- Collaborate with stakeholders to define data strategy and roadmap.

- Design and deploy BigQuery solutions for optimized performance and cost efficiency.

- Build and maintain ETL/ELT pipelines for large-scale data processing.

- Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration.

- Implement best practices for data security, privacy, and compliance in cloud environments.

- Integrate machine learning workflows with data pipelines and analytics tools.

- Define data governance frameworks and manage data lineage.

- Lead data modeling efforts to ensure consistency, accuracy, and performance across systems.

- Optimize cloud infrastructure for scalability, performance, and reliability.

- Mentor junior team members and ensure adherence to architectural standards.

- Collaborate with DevOps teams to implement Infrastructure as Code (Terraform, Cloud Deployment Manager).

- Ensure high availability and disaster recovery solutions are built into data systems.

- Conduct technical reviews, audits, and performance tuning for data solutions.

- Design solutions for multi-region and multi-cloud data architecture.

- Stay updated on emerging technologies and trends in data engineering and GCP.

- Drive innovation in data architecture, recommending new tools and services on GCP.

Certifications :

- Google Cloud Certification is Preferred.

Primary Skills :

- 7+ years of experience in data architecture, with at least 3 years in GCP environments.

- Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services.

- Strong experience in data warehousing, data lakes, and real-time data pipelines.

- Proficiency in SQL, Python, or other data processing languages.

- Experience with cloud security, data governance, and compliance frameworks.

- Strong problem-solving skills and ability to architect solutions for complex data environments.

- Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred.

- Leadership experience and ability to mentor technical teams.

- Excellent communication and collaboration skills.