Staff Data Engineer, Databricks Specialist

Job not on LinkedIn

🔥 1 hour ago

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 27 days.
• No salary listed.

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opinov8

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

opinov8 is a global digital and engineering solutions company specializing in custom software, cloud, and data services. Headquartered in London with development centers and remote teams across Ukraine, Egypt, Colombia, Portugal and the EU, opinov8 partners with businesses worldwide to accelerate digital transformation through custom engineering, cloud migrations, and data-driven solutions. The company operates as a remote-first B2B services provider serving clients across sectors such as finance, healthcare, logistics, and media.

📋 Description

• Own and drive technical architecture for complex, cross-team data initiatives spanning ingestion, transformation, storage, and serving layers • Design, build, and maintain scalable, high-performance data pipelines and distributed data platforms in a cloud-native environment • Architect and lead enterprise Master Data Management, including golden records, entity resolution, data domains, reference and hierarchy management, and stewardship • Architect and integrate agentic AI and LLM-driven workflows, including autonomous agents, RAG pipelines, and AI copilots, into data platforms and pipelines • Build and support data foundations for machine learning and AI, including feature stores, vector stores, embeddings, and ML/LLMOps pipelines • Design and deliver backend data services and REST/GraphQL APIs • Contribute across the stack to expose curated datasets to applications, analytics, and BI consumers • Set engineering standards for data quality, modeling, testing, observability, deployment, and responsible use of AI-assisted development tools • Establish data governance, lineage, cataloging, and quality frameworks • Lead technical design reviews and provide architectural guidance to multiple engineering and data teams • Partner with product, analytics, and engineering leadership to translate business strategy into scalable data roadmaps • Identify and resolve systemic performance, reliability, and scalability issues across the data stack • Mentor and coach senior and mid-level engineers • Drive adoption of modern frameworks, tools, and engineering practices • Maintain awareness of emerging technologies and industry trends in agentic AI, master data management, and modern data platforms

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred • 12+ years of experience in data engineering or software engineering • Demonstrated experience architecting data platforms and pipelines at scale • Expert-level SQL • Strong proficiency in Python; Scala or Java a plus • Deep experience with cloud data platforms such as Databricks, Snowflake, Synapse, BigQuery, or Redshift • Deep understanding of distributed systems, data modeling, and ETL/ELT architecture • Hands-on experience designing and implementing Master Data Management solutions, including entity resolution, match/merge, golden records, and reference/hierarchy management • Hands-on experience building or integrating agentic AI systems, LLM-powered applications, RAG pipelines, or AI agent orchestration frameworks • Experience building backend data services and REST/GraphQL APIs • Strong background with relational and NoSQL data stores, plus data lake/lakehouse formats such as Delta, Iceberg, or Parquet • Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps/DataOps practices • Proven track record of leading large-scale technical initiatives across multiple teams • Demonstrated ability to mentor engineers and influence technical direction without direct reporting authority • Nice-to-have experience with data governance, lineage, cataloging, multi-agent systems, event-driven architectures, streaming/real-time processing, ML/AI data layers, Docker, Kubernetes, Airflow, Dagster, dbt, and commercial real estate, fintech, or operations/transaction systems

🏖️ Benefits

• You can work from wherever you are — we hire and collaborate with professionals worldwide • Flexible working conditions and remote work model • Impactful projects across industries • Continuous learning and development opportunities • Hands-on experience • Collaboration with a diverse and cross-cultural team

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