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We are seeking an experienced Data Architect to design and implement scalable, secure, and high-performing data solutions. In this role, you will collaborate with cross-functional teams to translate business needs into robust data architectures while providing technical leadership throughout the project lifecycle.
Responsibilities
- Design end-to-end data architectures, including data modeling, integration, storage, and analytics solutions
- Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions
- Select appropriate technologies and platforms for data management, ensuring optimal performance, security, and scalability
- Oversee data migration, transformation, and integration processes across various systems
- Establish data governance, quality, and security standards
- Provide technical leadership and guidance to development teams throughout the project lifecycle
- Document architectural decisions, data flows, and solution designs
- Stay updated on emerging data technologies and trends to recommend improvements
Requirements
- 10+ years of hands-on experience in data architecture, data engineering, or related disciplines, with a proven track record of delivering enterprise-scale data solutions
- Expertise in designing and implementing Data Platforms & Solutions, including end-to-end architecture covering ingestion, storage, processing, and consumption layers for both batch and real-time workloads
- Deep understanding of Data Mesh principles, including domain-oriented data ownership, data-as-a-product mindset, self-serve data infrastructure, and federated computational governance
- Proficiency in Databricks, including Delta Lake, Unity Catalog, notebooks, and building scalable ETL/ELT pipelines using Spark for large-scale data processing and analytics
- Strong hands-on experience with Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, along with knowledge of GCP security, networking, and cost optimization best practices
- Familiarity with Atlan for metadata management, data cataloging, lineage tracking, and enabling enterprise-wide data discovery and governance initiatives
- Proficient communication skills in English (B2 level or higher)
Nice to have
- Knowledge of Cloudera Data Platform
- Understanding of Data Lakehouse architectures
- Background in Gen AI Application Development
- Skills in Oracle RDBMS