Senior Data Architect – Databricks

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AGGRANDIZE

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

Cybersecurity • Artificial Intelligence • Enterprise

AGGRANDIZE is a technology company focused on transforming business challenges into solutions through innovation and expertise. Since 2015, AGGRANDIZE has been offering a wide range of services including Modern Applications, Platform Engineering, Cyber Security, Data Analytics, and Artificial Intelligence. With a team of certified professionals, the company aims to enhance the operations and success of its clients and partners.

📋 Description

• Design and implement scalable, modern data architectures (Lakehouse, Delta Lake, Medallion) • Collaborate with business and technology teams to align solutions with strategic objectives • Lead modernization and technology evolution initiatives involving AI, agents, and machine learning (ML) • Ensure governance, security and compliance (LGPD, IAM, RBAC) • Participate in strategic data planning, aligning solutions with corporate goals • Support the definition of data roadmaps and contribute to long-term architectural decisions • Hold regular alignment meetings with technical and business stakeholders • Develop data pipelines with Databricks, Azure Data Factory and Synapse • Integrate machine learning solutions with Vertex AI and analytical pipelines with BigQuery

🎯 Requirements

• Strong experience with Azure: Data Lake Gen2, Databricks (Delta Lake), Synapse, and Unity Catalog • Proficiency in Python and SQL for large-scale ETL/ELT • Experience with Data Mesh architecture and data domains • Knowledge of data governance and data security • Experience in data modeling and batch/streaming processing • Experience developing pipelines with Databricks, Azure Data Factory and Synapse • Application of DataOps practices and CI/CD using GitHub/Azure DevOps • Experience with GCP, BigQuery, Vertex AI and Dataflow is a plus • Experience in multi-cloud environments (Azure, AWS, GCP) is a plus • Azure or GCP certifications are a plus • Knowledge of MLflow, Spark and Airflow is a plus • Strategic mindset and focus on business value • Strong communication with technical stakeholders and executives • Proactivity, autonomy, collaboration, adaptability, ownership mindset, and customer focus

🏖️ Benefits

• Meal/food voucher of R$38/day (flexible card) • Flexible allowance of R$210/month (flexible card) • TotalPass • Health and dental insurance • Life insurance • Profit-sharing (PLR) • Birthday day off • Training and certifications paid by Aggrandize • Employee referral program with rewards • Career development track