**What will we build together?** Our team is committed to proposing the best solutions based on technical excellence, thinking about alternatives that add value, with an agile mindset and a collaborative culture. We respect diversity and believe that diverse teams contribute to building more innovative ideas. **Responsibilities and duties** * Define and document end\-to\-end data architectures, from source ingestion to the analytical consumption layer, ensuring scalability, performance, and governance; * Establish technical standards, development guidelines, and architectural decisions, promoting consistency across projects and teams; * Lead the adoption and evolution of the Lakehouse architecture (Medallion Architecture) in Databricks and Azure environments, including partitioning strategies, clustering, and Delta Tables optimization; * Define and guide data ingestion strategies for batch, incremental, CDC, and streaming; * Technically lead data modeling decisions appropriate to the analytical context and consumption patterns; * Ensure implementation of data governance practices (cataloging, lineage, object\/row\/column-level access control); * Act consultatively with clients, conducting technical discovery, requirements gathering, and presenting architectural proposals; * Support and review the work of data engineers, ensuring adherence to defined standards and promoting good development practices; * Collaborate with BI, Engineering, and AI teams to define data layers supporting analytical, semantic, and ML models; * Evaluate and recommend technologies, tools, and integration patterns aligned with the Azure \+ Databricks ecosystem; * Monitor data platform health (quality, SLAs, compute and storage costs), proposing continuous improvements; * Contribute to pre\-sales processes and technical qualification of opportunities, developing reference architectures and effort estimates. **Requirements and qualifications** **Mandatory:** ----------------- * Solid experience in cloud-based data solution architecture on Azure (Data Factory, ADLS Gen2, Azure Synapse, Event Hub, Azure Functions); * Experience with Lakehouse architecture, medallion layers, Delta Lake, and data ingestion; * Experience with Databricks (PySpark\/SparkSQL, Spark Declarative Pipelines, Unity Catalog, Databricks Automation Bundles, Lakeflow Connect); * Proficiency in data modeling appropriate for the analytical context; * Experience with data ingestion in various formats (CDC, APIs, relational and non-relational databases, etc.) and frequencies (batch, incremental, streaming, etc.); * Ability to define and document technical standards, development guidelines, and architectural decisions; * Experience with pipeline orchestration and data quality control; * Familiarity with data governance (catalog, lineage, access control and security at various object\/data levels); * Ability to act consultatively with clients, translating business requirements into technical architectures. **Preferred qualifications:** ----------------- * Experience with Microsoft Fabric (Lakehouses, Warehouses, Mirroring, Direct Lake, pipelines, and OneLake shortcuts); * Experience with ML\/AI\/genAI development and productionization workflows; * Experience mirroring Databricks Unity Catalog in Fabric; * Knowledge of Power BI and semantic layer (tabular models, AAS, Direct Lake); * Experience with real-time streaming and ingestion (Structured Streaming, Event Hub, Kafka); * Familiarity with infrastructure-as-code and CI\/CD for data pipelines (Databricks Automation Bundles, Azure DevOps); * Experience in on\-premises-to-cloud migration or legacy data warehouse modernization projects; * Relevant certifications such as Databricks Engineer Associate\/Professional. **Additional information** **Here’s what you’ll get:** * iFood Card (meal and food); * Cost-of-living allowance; * Health insurance; * Dental insurance; * Birthday day off; * Life insurance; * Extended maternity and paternity leave; * Educational partnerships; * Total Pass partnership — health and well-being; * Clude Saúde partnership; * Reimbursement programs; * Flexible working hours; * Dress code: be yourself. **** From home garages to the world: this is how DB’s story began. Born with a desire for change, our purpose is to be a people-centered technology company grounded in collaboration, inclusion, and diversity. In 1993, we started as consultants for one of the leading database systems of that era — which inspired our original name, DBServer (data base server). Gradually, we evolved into today’s DB (Design \+ Build the future), a company that drives change through innovation and humanity. We develop people who impact businesses through technology and innovation, participating flexibly and collaboratively in squads, consulting engagements, and training across all lifecycle stages — from Discovery to Delivery and ongoing support. ***A focus on Diversity & Inclusion*** DB has built a journey composed of cultural markers with deep human significance, embedded in our daily lives. With courage and empathy, collaboration, collective awareness, and community spirit, we are evolving toward a people-centered culture. We are proud to foster a discrimination-free workplace. We believe that diversity of experiences, perspectives, and backgrounds enriches our work environment. We are committed to building this legacy — with your partnership! ***Learn about our Ethical Framework:******https://bit.ly/MarcoEtico***
João Silva
Indeed · HR
João Silva
Indeed · HR
