Key Responsibilities

- Design and implement enterprise-grade data architectures leveraging GCP services.

- Define and govern end-to-end data strategy, architecture standards, and best practices.

- Architect scalable data lakes, data warehouses, lake house solutions, and real-time data platforms.

- Lead cloud data transformation and migration initiatives from on-premises and multi-cloud environments to GCP.

- Design batch and streaming data pipelines using GCP-native technologies.

- Collaborate with business stakeholders, data engineers, analysts, and application teams to understand requirements and translate them into scalable solutions.

- Establish data governance, metadata management, master data management (MDM), and data quality frameworks.

- Ensure compliance with security, privacy, and regulatory requirements.

- Optimize platform performance, scalability, reliability, and cost efficiency.





- Mentor technical teams and provide architectural guidance across multiple projects.

- Conduct architecture reviews and recommend improvements aligned with business objectives.

Required Skills:

- 12-18 years of IT experience with significant experience in Data Architecture.

- Strong hands-on expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and related GCP services.

- Experience with data modeling, ETL/ELT, data warehousing, and lake house architectures.

- Proficiency in SQL and Python/Java/Scala.

- Knowledge of data governance, data quality, and cloud security frameworks.

Preferred:

- GCP Skilled Data Engineer certification.

- Experience with Spark, Kafka, Airflow, Terraform, and AI/ML data platforms.

📌 Data Architect (Bengaluru)
🏢 Tredence
📍 Bengaluru