Google Data Architect creating and optimizing data solutions using GCP technologies. Collaborating with teams to enhance enterprise data architecture across business functions.
Responsibilities
Support Data Architecture & Solution Design
Translate business requirements into data models, integration patterns, and architecture components
Contribute to conceptual, logical, and physical data model development for analytics, APIs, and operational workloads
Design and enhance scalable ingestion and transformation pipelines using GCP services
Help modernize data flows by applying cloud-native patterns
Support data governance and quality efforts
Collaborate with data engineers, analysts, product teams, and senior architects
Requirements
Bachelor's degree or equivalent experience
Minimum 5 years of work experience
Foundational experience (1–3 years) in data engineering, cloud development, or analytics engineering
Knowledge of GCP services (BigQuery, Pub/Sub, Cloud Storage, Dataflow, Bigtable preferred but not required)
Strong SQL skills and familiarity with Python or similar scripting languages
Understanding of ETL/ELT concepts, data modeling fundamentals, and modern data processing patterns
Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.