Senior Data Architect – Technology

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🕒 June 17

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DB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

Software • Technology • Consulting

DB is a company that specializes in assisting organizations with digital transformation, focusing on understanding problems and finding optimal solutions. They offer a range of services including Agile design and development, digital innovation, software development, sourcing, and consulting. With a dedicated team, DB emphasizes quality in software engineering and provides tailored technological solutions to meet client demands effectively. Additionally, they promote innovation through their DBLab initiative, ensuring that their approaches are applicable, replicable, and scalable for their clients' success.

📋 Description

• Define and document end-to-end data architectures, from source ingestion to analytical consumption layers, ensuring scalability, performance, and governance • Establish technical standards, development guidelines, and architectural decisions to promote consistency across projects and teams • Lead adoption and evolution of Lakehouse architecture (Medallion Architecture) in Databricks and Azure environments, including partitioning, clustering, and Delta Table optimization strategies • Define and guide data ingestion strategies for batch, incremental, CDC, and streaming scenarios • Provide technical leadership for data modeling decisions appropriate to the analytical context and consumption patterns • Ensure implementation of data governance practices (cataloging, lineage, access control at object/row/column levels) • Act in a consultative capacity with clients, conducting technical discovery, gathering requirements, and presenting architectural proposals • Support and review the work of data engineers, ensuring adherence to defined standards and promoting development best practices • Collaborate with BI, Engineering, and AI teams to define the data layers that support analytical, semantic, and ML models • Evaluate and recommend technologies, tools, and integration patterns aligned with the Azure + Databricks ecosystem • Monitor the health of data platforms (quality, SLAs, compute and storage costs) and propose continuous improvements • Contribute to pre-sales activities and technical qualification of opportunities by developing reference architectures and effort estimates.

🎯 Requirements

• Strong experience in cloud 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 patterns • Experience with Databricks (PySpark/SparkSQL, Spark Declarative Pipelines, Unity Catalog, Databricks Automation Bundles, Lakeflow Connect) • Proficiency in data modeling suited to analytical contexts • Experience ingesting data 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 controls • Familiarity with data governance (catalog, lineage, access control, and security at different data/object levels) • Consultative ability to work with clients, translating business requirements into technical architectures.

🏖️ Benefits

• iFood voucher (meal allowance) • Cost allowance • Health insurance • Dental plan • Birthday day off • Life insurance • Extended maternity and paternity leave • Educational partnerships • TotalPass partnership - health and wellness • Clude Saúde partnership • Reimbursement programs • Flexible working hours • Dress code: be yourself.