Data Architect - Google Cloud Platform

Key Responsibilities :

- Define and maintain data architecture principles, guidelines, standards, and best practices.

- Lead and participate in the design, development, and deployment of data warehousing, analytics, and

big data solutions using Google Cloud Platform (GCP).

- Design and implement end-to-end data pipelines and solutions using components like BigQuery,

- Dataproc, Data Fusion, Dataflow, CloudSQL, Bigtable, Cloud Storage, etc.

- Perform strategic planning for data modernization and transformation initiatives across business units.

- Collaborate with cross-functional teams including business stakeholders, data scientists, analysts, and

engineers to architect scalable and maintainable solutions.

- Ensure data governance, quality, and security compliance across solutions.

- Lead migration projects such as Hadoop to GCP and build cloud-native architecture.

- Support and guide teams on ETL, data modeling, and data integration best practices.

- Translate complex business requirements into technical data architectures and solutions.

- Stay current with emerging cloud and data technologies and recommend appropriate adoption strategies.

Required Skills & Qualifications :

- 10+ years of relevant experience in data architecture, big data, data engineering, and analytics.

- Proven experience in architecting data solutions on GCP, including but not limited to:

- BigQuery, Bigtable, Dataflow, Dataproc, Data Fusion, CloudSQL, Cloud Spanner, Google Cloud Storage, Cloud Composer

- Expertise in Data Modeling, Data Warehousing, ETL Pipelines, and Big Data Architecture.

- Strong programming skills in SQL, Python, and R or Scala.

- Experience with data visualization tools such as Google Data Studio or Power BI.

- Knowledge of A/B Testing, Statistical Methods, and Agile Development Methodologies.

- Experience working with DevOps practices in data pipelines and infrastructure.

- Solid understanding of cloud security, governance, and performance optimization.

- Strong experience in project/program management and leading technical delivery teams.

Preferred Qualifications / Good to Have :

- Migration experience from Hadoop to GCP at scale.

- Familiarity with event-driven architecture and cloud interconnectivity solutions.

- Exposure to Cloud Interconnect, Cloud Functions, and Data Governance tools.

- Google Cloud Platform certification such as:

- Google Professional Cloud Architect (mandatory or preferred)

Certifications :

- Google Professional Cloud Architect (required or preferred depending on the hiring criteria)

Soft Skills :

- Strong communication and stakeholder management skills.

- Ability to mentor junior team members and lead architectural discussions.

- Analytical mindset with problem-solving orientation and attention to detail.

- Adaptability and continuous learning approach.