Senior Data Architect (GCP, Salesforce Data Cloud)

Accountabilities:

• • Assess the existing data architecture and operating model, identifying opportunities to optimize current GCP capabilities while recommending broader architectural changes when appropriate.
  • Map the complete data lifecycle, from operational, transactional, and CRM sources through ingestion, transformation, governance, and delivery to analytical products.
  • Design an integrated target-state data architecture connecting Salesforce Data Cloud with cloud and Lakehouse environments.
  • Develop architecture capable of supporting generative AI, vector search, predictive models, and autonomous data-agent use cases.
  • Guide data and analytics development teams on data modeling, pipelines, lineage, data quality, governance, and LGPD compliance.
  • Evaluate and optimize cloud infrastructure and customer data platform costs through FinOps practices.
  • Translate complex technical concepts into clear, actionable recommendations for technical stakeholders and business leadership.
  • Promote scalable, efficient, and pragmatic data architecture practices aligned with long-term business objectives.

  Requirements:

  • Solid professional background in Data Architecture, including data development, modeling, and data pipeline design.
  • Deep, hands-on knowledge of Salesforce Data Cloud, including customer data modeling (DMO/DSO), profile unification, calculated insights, and activation rules; this is a non-negotiable requirement.
  • Strong expertise in Google Cloud Platform (GCP) data architecture and services, including BigQuery, Cloud Storage, pipeline orchestration, and identity and access management.
  • Proven ability to understand the complete data lifecycle and translate business processes into end-to-end data architectures.
  • Strong understanding of data integration, governance, quality, and scalable cloud-based data environments.
  • Excellent communication and stakeholder-management skills, with the ability to work effectively with both technical teams and business executives.
  • Strong systemic thinking, results orientation, and a pragmatic approach to solving complex problems.
  • Experience with Databricks, Medallion architecture, Delta Lake, PySpark/Spark SQL, and Unity Catalog is a plus.
  • Experience with Snowflake, virtual warehouse architecture, Snowpark, Data Sharing, or Zero-Copy integrations is advantageous.
  • Knowledge of dimensional and relational modeling, as well as batch and streaming integration patterns, is desirable.
  • Experience with AWS or Azure is a plus.
  • Relevant certifications such as Salesforce Data Cloud Accredited Professional, Google Cloud Professional Data Engineer/Architect, Databricks Certified Data Engineer Professional, or SnowPro Advanced certifications are advantageous.

  Benefits:

  • Fully remote position available across Brazil.
  • Long-term engagement with no defined end date.
  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended parental leave.
  • Access to Wellhub (Gympass), TotalPass, and health and wellness professionals.
  • Profit-sharing program (PLR).
  • Life insurance.
  • Continuous learning through an internal learning platform.
  • Partnerships with online learning and language platforms.
  • Discount club and additional employee benefits.
  • Online resources dedicated to physical health, mental health, and well-being.
  • Pregnancy and responsible-parenting courses.
  • Inclusive support and workplace accessibility resources.