Design, build, and refine distributed data platforms using tools such as Kafka, Flink, Spark, and Delta Lake, ensuring resilience, scalability, and optimal performance for both streaming and batch operations.
Develop and manage high-volume, low-latency data pipelines that support real-time analytics, machine learning features, and intelligent product functionality.
Convert business needs into durable and scalable data architectures, incorporating sound practices in data modeling, workflow orchestration, governance, and system monitoring.
Produce clean, maintainable code and establish engineering standards that elevate team-wide software quality through active code reviews and mentorship.
Integrate conventional machine learning systems with emerging AI-driven decision frameworks, supporting the shift toward agent-based or Model Context Protocol (MCP)-enabled workflows.
Partner across Product, AI, and Engineering teams to advance platform usage, guide architectural decisions, and enable new technical capabilities.

Minimum of 8 years of experience in data engineering, platform engineering, or software development.
Proven track record in developing and scaling distributed systems and data infrastructure.
Extensive hands-on experience with technologies such as Apache Kafka, Apache Flink, Apache Spark, Delta Lake, or comparable platforms.
Strong understanding of streaming data architectures, real-time processing, and event-driven design patterns.
Solid background in software engineering principles including design patterns, testing, CI/CD pipelines, version control, and code quality.
Proficient in programming languages such as Scala, Java, or Python.
Advanced skills in SQL, data modeling, and performance optimization for analytical and transactional databases.

Experience with Model Context Protocol (MCP) or modern AI infrastructure frameworks.
Familiarity with ML Ops tools, feature stores, and model deployment ecosystems.
Knowledge of data governance, observability tooling, and scalable access control mechanisms such as RBAC or RLS.

Hybrid — Remote, hybrid, on-site

Flexible working hours to support personal work-life balance and responsible autonomy.
Casual work environment with no formal dress code.
Financial allowance for setting up or improving a home office.
Paid day off during your birthday month to celebrate as you choose.
Five additional paid recharge days per year to encourage rest and well-being.
Monthly food or meal stipend of BRL 1,144.00, provided fully and credited even during leave periods.
Transportation voucher available based on commuting requirements.
Access to Wellhub (Gympass) for fitness centers, wellness apps, and physical activities, including for dependents.
Membership in SESC for cultural, leisure, sports, and vacation benefits.
Nationwide health insurance (Amil) with private room coverage for employee and dependents, with co-payment.
Nationwide dental plan with three options, fully covered for the selected plan.
Digital mental health support via Conexa Saúde platform.
Life insurance equal to 24 times the monthly salary.
Extended maternity leave of 180 days.
Extended paternity leave of 30 days.
Childcare reimbursement: BRL 676.81 monthly for children up to 2 years, BRL 592.21 for children up to 5 years.
Monthly financial support of BRL 846.02 for dependents with disabilities or neurodiversity.
Educational partnerships with universities and language schools.
Performance-linked short-term financial incentive program (ICP).
Reimbursement of up to BRL 250.00 for legal name or gender marker changes, supporting identity inclusion.

Blip Global is hiring a Staff Data Engineer - Governance