Strategic Data Architect
2 days ago
About this role
We are seeking a highly skilled Senior Data Strategist to join our team. The ideal candidate will have a deep understanding of data architecture and analytics, with expertise in designing and implementing scalable data solutions on Google Cloud Platform.
This is a unique opportunity to work with cutting-edge technologies and drive innovation in the finance space. As a Senior Data Strategist, you will be responsible for developing technical solutions that meet the needs of our clients and stakeholders.
Key Responsibilities- Design and implement end-to-end data and analytics solutions from concept to delivery on GCP.
- Develop and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions.
- Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains.
- Drive the design, sizing, provisioning, and setup of GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage.
- Review solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologies.
This role requires someone who is hands-on with technology, stays current with industry trends, and has a strong passion for driving innovation and growth.
Skills & Experience RequiredTo succeed in this role, you must have:
- Demonstrated experience in delivering multiple data and analytics solutions on GCP.
- Hands-on experience with data ingestion, processing, and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion.
- Deep expertise with GCP data warehousing and analytics services including BigQuery, Cloud Storage, and Looker.
- Familiarity with Data Mesh, Data Fabric, and Data products, Data Contracts, and experience in data mesh implementation.
- Strong understanding and practical experience with different data modeling techniques—Relational, Star, Snowflake, DataVault etc., and working with transactional, time-series, and unstructured datasets.
- Experience with enterprise data management i.e., Data Quality t, Metadata management, Data governance, Data Observability using GCP-native or third-party tools.
- Experience in design and implementation of event-driven architecture and tools like Google Pub/Sub or Kafka.
- Familiarity with AI, GenAI concepts, and Vertex AI. Solid grasp of operational dependencies and integration across applications, networks, security, and infrastructure in the cloud—including IAM, VPCs, VPNs, firewall rules, GKE, and service accounts.
- Strong foundation in computer science or software engineering, with expertise in software development methodologies and Dev/Data Ops and CI/CD.
- Practical experience using tools such as Terraform, Cloud Build, GitHub Actions, and scripting via Python, Bash etc.
This is a challenging and rewarding role that offers opportunities for professional growth and development. As a member of our team, you will receive:
- A competitive salary and benefits package.
- Ongoing training and professional development opportunities.
- The chance to work with cutting-edge technologies and drive innovation in the finance space.
We are looking for someone who is passionate about data and analytics, and has a strong desire to make a difference. If you are interested in this role, please submit your application.
Note: The position may require occasional travel to client sites.
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