Enterprise Data Platform Solutions Architect with Google Cloud Platform

Enterprise Data Platform Solutions Architect with Google Cloud Platform
Remote EST/CST

Job Summary
Strong, hands on Google Cloud Platform experience is essential — including BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage — along with deep expertise in data modeling, mapping, and solution design.
Key Responsibilities
•    Design end-to-end data solutions for migration waves and net new use cases, covering ingestion, transformation, and consumption layers.
•    Develop conceptual, logical, and physical data models aligned to business and analytical needs.
•    Define source to target mappings and transformation logic, including handling of data types, nulls, defaults, SCDs, and business rules.
•    Make hands on Google Cloud Platform service design decisions across BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage, balancing performance, cost, and security.
•    Design dimensional and analytics ready data models (star schemas, fact/dimension structures).
•    Apply security and least privilege access principles at the dataset and domain level.
•    Partner with Tech Leads and Data Engineers to guide implementation and review builds against design intent.
•    Work with Product Managers, Business Analysts, and SMEs to translate requirements into executable solution designs and data product definitions.
•    Collaborate with QA/QE teams to ensure quality is designed in — including validation hooks, reconciliation strategy, and data quality expectations.
•    Align with platform architecture teams to adopt standards, surface gaps, and contribute reusable patterns.
•    Lead solution design reviews and document key decisions, tradeoffs, and rationale.
•    Contribute to AI/GenAI enablement where it strengthens solution outcomes (metadata driven workflows, AI ready data products, agentic patterns).
•    Operate within Agile delivery models (Scrum/Kanban) using tools such as Jira and Confluence.
Required Qualifications
•    7+ years of progressive experience in data engineering and solution architecture on enterprise data platforms.
•    Strong, hands on experience with Google Cloud Platform data services: BigQuery, Dataflow, Cloud Composer, Dataform, Cloud Storage.
•    Expertise across the full data lifecycle: modeling, mapping, transformation design, and data product architecture.
•    Strong foundation in dimensional modeling, star schemas, and analytics ready structures.
•    Advanced SQL skills for designing and reasoning about complex transformations on large datasets.
•    Working knowledge of Google Cloud Platform security and access design (IAM, least privilege, dataset/domain level access).
•    Demonstrated ability to operate across architecture and implementation — defining designs, guiding engineers, and reviewing builds.
•    Strong communication skills with the ability to explain design decisions to technical and non technical stakeholders.
•    Bachelor’s degree in a related field or equivalent experience.
Preferred Qualifications
•    Experience with platform modernization or EDW to Google Cloud Platform migration programs.
•    Experience in retail, consumer, or omni-channel data domains (customer, product, inventory, orders, pricing, loyalty).
•    Familiarity with semantic layer concepts, data catalog/metadata platforms, and governance workflows.
•    Exposure to LLM enabled or agentic patterns for AI ready data products.
•    Working proficiency in Python for prototyping or pipeline support.
•    Google Cloud Platform certifications (Professional Data Engineer or Professional Cloud Architect).
Team & Culture Fit
•    Pragmatic problem solver who balances speed vs. durability and innovation vs. standardization.
•    Collaborative and outcome driven — works closely with engineering, product, BA, and quality teams.
•    Strong ownership mindset — identifies gaps, proposes solutions, and drives alignment.
•    Comfortable with ambiguity and multi wave delivery across multiple pipelines.
•    Clear, concise communicator who can tailor messaging to engineers and executives.