Staff Data Architect

Blip; Brasil; Presencial; BRL 279 000 - 390 600; Tempo integral

Resumo da oferta

A leading software development company in Brazil is seeking a Mid-Senior level Data Architect to oversee the architectural vision for data management. This role involves designing and implementing data flows, ensuring system scalability, and embedding governance principles. The ideal candidate should have 6+ years of experience in data architecture and strong technical foundations in Python and SQL. Full-time position available with a focus on leading-edge technologies.

Qualificações

• 6+ years in Data Architecture or Engineering.
• Experience with GCP, AWS, or Azure.
• Hands-on with streaming and real-time systems.

Responsabilidades

• Define architectural standards for data ingestion and modeling.
• Design scalable data infrastructure using cloud capabilities.
• Ensure data governance principles are embedded in solutions.

Conhecimentos

Data Architecture

Data Engineering

Distributed Systems Design

Streaming Systems

Advanced English

Ferramentas

Python

SQL

Terraform

Descrição da oferta de emprego

Why this Role Exists

At Blip, architecture is more than design, it’s the backbone of scalability and trust. Our data ecosystem powers billions of daily interactions, and we’re evolving it to support next-generation AI and decision systems.

Your Mission

You’ll own the end-to-end architectural vision for how data flows through Blip—from ingestion to processing, from modeling to governance, and from analytics to AI. You’ll partner with cross‑functional teams to design and evolve architectures that are robust, cost‑efficient, and adaptable to an increasingly intelligent, real‑time ecosystem.

Key Responsibilities

• Enterprise Data Architecture
  • Define and maintain architectural standards and patterns for data ingestion, modeling, curation, and serving layers (OLTP, OLAP, streaming, and AI).
  • Design logical and physical data models across systems, ensuring domain alignment, lineage, and semantic consistency.
  • Collaborate with domain teams to evolve a shared, federated data architecture aligned with business outcomes.
• System Design & Modernization
  • Partner with Platform and Engineering teams to design and implement scalable, cost‑efficient, and reliable data infrastructure leveraging cloud capabilities (Azure & GCP) and managed services.
  • Lead modernization and migration initiatives, defining transition paths, refactoring opportunities, and architectural guardrails for data products.
  • Ensure architectural patterns enable both real‑time and analytical use cases, supporting streaming and batch pipelines seamlessly.
• Governance & Quality
  • Embed governance principles into every layer of solution design, ensuring lineage, access control, and data quality are foundational.
  • Define taxonomies, metadata models, and quality frameworks that unify analytical and operational data assets.
  • Partner with Governance teams to operationalize standards through automation and platform integration.
• Strategic Leadership & Enablement
  • Act as an architectural authority, influencing system evolution, modernization roadmaps, and design reviews across data domains.
  • Mentor engineers and architects, codifying best practices and raising the engineering bar across teams.
  • Promote architectural consistency and shared ownership through collaborative design sessions and reviews.

What We’re Looking For

• Experience
  • 6+ years in Data Architecture, Data Engineering, or large‑scale distributed system design.
  • Proven experience designing and evolving distributed data architectures using GCP or equivalent (AWS/Azure).
  • Hands‑on expertise with streaming and real‑time event‑driven systems (Kafka, Pub/Sub, Flink).
  • Deep understanding of data modeling (conceptual, logical, physical) and storage paradigms across analytical and operational systems.
  • Advanced English skills.
• Technical Foundations
  • Strong foundation in Python, SQL, and modern data modeling techniques (3NF, Data Vault, Dimensional, Event‑based).
  • Solid understanding of Infrastructure‑as‑Code (Terraform), CI/CD, and observability principles.
  • Familiarity with data governance tools such as Dataplex or OpenMetadata, and standards like RBAC/RLS and DLP.
  • Comfortable working hands‑on across data engineering stacks to validate and evolve architectural designs.
• Bonus Points
  • Experience implementing Model Context Protocol (MCP), agentic systems, or semantic modeling for AI‑driven environments.
  • Exposure to cross‑domain data mesh or federated governance frameworks.

Job Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Engineering and Information Technology
• Industries: Software Development