
Senior Cloud Data Architect
1 day ago
About Us
We are a leading boutique firm specializing in AI and data engineering. We empower Fortune 1000 companies by leveraging AI-powered decision intelligence, particularly in finance and supply chain transformation.
Key Responsibilities:
- You will be part of our consulting team helping clients re-invent their corporate finance function using advanced analytics. You will work closely with senior stakeholders to design and implement data strategies in finance, including use cases like controllership, FP&A, and GPO.
- You will develop technical solutions to deliver scalable analytical solutions using cloud and big data technologies. You will collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organization skills are essential for this role.
Technical Skills and Qualifications:
- Delivery of multiple data and analytics solutions on Google Cloud Platform (GCP)
- Data ingestion, processing, and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion
- GCP data warehousing and analytics services including BigQuery, Cloud Storage, and Looker
- Data Mesh, Data Fabric, and Data products, Data Contracts, and experience in data mesh implementation
- Different data modeling techniques—Relational, Star, Snowflake, DataVault, and working with transactional, time-series, and unstructured datasets
- Enterprise data management i.e. Data Quality, Metadata management, Data governance, Data Observability using GCP-native or third-party tools
- Event-driven architecture and tools like Google Pub/Sub or Kafka
- Ai, GenAI concepts, and Vertex Ai
- Operational dependencies and integration across applications, networks, security, and infrastructure in the cloud—including IAM, VPCs, VPNs, firewall rules, GKE, and service accounts
- Software development methodologies and Dev/Data Ops and CI/CD
- Coding in Python, SQL, and Spark
Your Benefits:
You will drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP). Design, 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, along with coordinated roll-out and adoption strategies. Drive the design, sizing, provisioning, and setup of GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage. Provide mentoring and guidance on GCP-based data architecture to engineering, analytics, and business teams. Advise on emerging GCP trends and services, and recommend adoption strategies to maintain competitive edge. Actively participate in pre-sales engagements, PoCs, and contribute to publishing thought leadership content. Collaborate closely with the founders and leadership team to shape and drive the organization's cloud and data strategy.
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