Data Architect

Job description

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