Data Architect

Role Overview:We are seeking a highly skilled Data Architect - GCP with 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP) along with Data Governance. The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration, with proven expertise in data governance, delivering scalable, secure, and efficient data platforms.Key Responsibilities:- Design and architect end-to-end data solutions on GCP, aligning with business and technical requirements.- Hands on experience with Data Governance- Define data models, storage strategies, data ingestion, processing, and consumption frameworks.- Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.- Collaborate with business stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures.- Design and implement data governance, security, and compliance frameworks for cloud-based data platforms.- Optimize data workflows, query performance, and storage costs in the GCP environment.- Lead data migration and modernization initiatives from on-premise or other cloud platforms to GCP.- Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation.- Provide technical leadership and mentoring to data engineering teams.Required Skills and Qualification:- Educational Background:- Bachelor’s degree in Computer Science, Software Engineering, or a related field.- Experience:- 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP.- Hands-on Data Governance experience.- 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.- Soft Skills:- Strong problem-solving and analytical skills.- Excellent communication and collaboration abilities.- Ability to work independently and within a team in an Agile/Scrum environment.Traits we are looking for:- 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.Good To Have:- 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.What We Offer:- 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.