Job Closed
This listing is no longer active.
Increase the power of your business
Senior Data Architect – Databricks
Location
Brazil
Posted
126 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Architect – Databricks
AGGRANDIZE
• Design and implement scalable, modern data architectures (Lakehouse, Delta Lake, Medallion) • Collaborate with business and technology teams to align solutions with strategic objectives • Lead data modernization and decentralization initiatives with a Data Mesh approach • Ensure governance, security and compliance (LGPD, IAM, RBAC) • Participate actively in strategic data planning, aligning solutions with corporate goals • Support the definition of data roadmaps and contribute to long-term architectural decisions • Conduct regular alignments with technical and business stakeholders to ensure adherence to organizational needs
Job Requirements
- Strong experience with Azure: Data Lake Gen2, Databricks (Delta Lake), Synapse, Unity Catalog
- Proficiency in Python and SQL for large-scale ETL/ELT
- Experience with Data Mesh architecture and decentralization of data domains
- Knowledge of data governance and security
- Experience in data modeling and batch/stream processing
- Build data pipelines with Databricks, Azure Data Factory and Synapse
- Apply DataOps practices and CI/CD using GitHub/Azure DevOps
- Strategic mindset with a focus on business value
- Effective communication with technical and executive stakeholders
- Proactivity and autonomy in driving projects
- Collaboration with multidisciplinary teams
- Adaptability
- Collaboration
- Ownership mindset
- Customer focus
Benefits
- Meal/food voucher of R$38/day (flexible card)
- Flexible allowance of R$210/month (flexible card)
- TotalPass
- Health and dental plan
- Life insurance
- Profit-sharing (PLR)
- Birthday day off
- Training and certifications funded by Aggrandize
- Paid referral program
- Career development track
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Analyse and maintain RDF/TTL data models and vocabularies; • Develop, optimise, and maintain SPARQL queries; • Support data ingestion, transformation, and validation workflows; • Ensure consistency and correctness of semantic data across the platform; • Collaborate with backend engineers to integrate semantic logic into application flows; • Assist in documenting semantic models, assumptions, and constraints; • Participate in troubleshooting data quality and reasoning issues.
• Analyse and maintain RDF/TTL data models and vocabularies; • Develop, optimise, and maintain SPARQL queries; • Support data ingestion, transformation, and validation workflows; • Ensure consistency and correctness of semantic data across the platform; • Collaborate with backend engineers to integrate semantic logic into application flows; • Assist in documenting semantic models, assumptions, and constraints; • Participate in troubleshooting data quality and reasoning issues.
• Analyse and maintain **RDF/TTL data models** and vocabularies; • Develop, optimise, and maintain **SPARQL queries;** • Support data ingestion, transformation, and validation workflows; • Ensure consistency and correctness of semantic data across the platform; • Collaborate with backend engineers to integrate semantic logic into application flows; • Assist in documenting semantic models, assumptions, and constraints; • Participate in troubleshooting data quality and reasoning issues.
• odpowiedzialność za całość rozwiązań współtworzonych wraz z zespołem • tworzenie lub modyfikowanie rozwiązań do przetwarzania danych w chmurze • tworzenie i modyfikowanie dokumentacji • analizowanie i optymalizowanie rozwiązań w zakresie działającego lub projektowanego systemu • analizowanie wymagań klienta pod kątem dostarczenia optymalnego rozwiązania jego potrzeby biznesowej • analizowanie potencjalnych zagrożeń • dostosowywanie rozwiązań względem wymagań biznesowych • testowanie rozwiązań.
