Enterprise Data Solutions Specialist

Data Governance Manager

We are seeking a highly skilled Data Architect or Data Governance Manager with 6–8 years of experience in designing, developing and managing enterprise data solutions on Google Cloud Platform (GCP).

This role involves designing and architecting end-to-end data solutions on GCP, aligning with business and technical requirements. Key responsibilities include defining data models, storage strategies, data ingestion, processing and consumption frameworks.

Furthermore, this position requires implementing data lakes, data warehouses and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub and Composer. Collaboration with business stakeholders, data scientists and engineering teams is necessary to understand data needs and translate them into scalable architectures.

The successful candidate will also design and implement data governance, security and compliance frameworks for cloud-based data platforms. Additionally, optimizing data workflows, query performance and storage costs in the GCP environment is crucial.

Leadership skills are required to lead data migration and modernization initiatives from on-premise or other cloud platforms to GCP. Staying updated with GCP services, features and industry best practices is essential to recommend improvements and innovation.

Providing technical leadership and mentoring to data engineering teams is also an important aspect of this role.

• Bachelor's degree in Computer Science, Software Engineering or a related field.
• 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP.
• Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
• Proficient in data modeling, data warehousing concepts, ETL/ELT pipelines and big data processing frameworks.
• Experience with SQL, Python and Terraform (preferred) for infrastructure as code.
• Hands-on experience in data security, encryption, access control and governance on GCP.
• Experience in integrating with real-time data pipelines and event-driven architectures.
• Strong understanding of DevOps, CI/CD pipelines for data workflows and cloud cost optimization.
• GCP Professional Data Engineer / Cloud Architect certification is a plus.

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge security challenges.
• A collaborative and growth-oriented work environment with opportunities for career development.

• Curiosity-driven: Passionate about exploring new tools, technologies and methods to solve problems creatively.
• Problem-Solver: Thrives on identifying and fixing complex issues, with a natural inclination for troubleshooting.
• Self-starter: Takes initiative, requires minimal supervision and demonstrates ownership of tasks from start to finish.
• Innovative Mindset: Enjoys experimenting with different approaches and is not afraid to break things to learn.
• Continuous Learner: Actively seeks to expand their knowledge through reading, online courses and experimenting with side projects.
• Adaptability: Quick to adjust to new technologies, tools or changes in requirements.
• Detail-Oriented: Pays attention to both the big picture and the small details, ensuring quality in execution.

• Exposure to AI/ML workflows, data preparation for ML models.
• Experience with third-party tools like Apache Airflow, Looker or Dataplex.
• Knowledge of other cloud platforms (AWS, Azure) for hybrid/multi-cloud strategies.