Data Solution Architect responsible for delivering data and integration solutions at Expleo. Collaborating with stakeholders and managing solutions to support strategic decision - making.
About the role
- Data Engineer focusing on Azure solutions and data pipelines. Involves technical leadership and implementing data architecture in a hybrid work setup.
Responsibilities
- Act as a technical reference in Azure data engineering, guiding the team on implementation standards, troubleshooting, and best practices;
- Design, develop, and maintain data pipelines in Azure Data Factory and Databricks, ensuring resilient execution, reprocessing, and traceability;
- Implement and evolve Lakehouse architecture with Delta Lake and Bronze, Silver, Gold layers;
- Develop transformations in PySpark and SQL, focusing on performance, parallelism, partitioning, and cost reduction;
- Implement data quality patterns: validations, reconciliation, deduplication, handling inconsistencies, and audit trails;
- Design and implement integrations with corporate sources (relational databases and APIs) and support incremental ingestion and CDC where applicable;
- Define and oversee data governance, security, and compliance standards, including access control and LGPD compliance;
- Support the team in technical reviews, performance optimization, managing complex incidents, and root cause analysis;
- Lead technical meetings, presentations, and workshops with the client in English;
- Ensure adherence to data engineering best practices, observability, and production operations (logs, metrics, alerts, and SLAs).
Requirements
- Advanced or fluent English to work in an international environment;
- Strong experience as a Data Engineer on Azure;
- Proven production experience with Databricks (Jobs/Workflows, clusters, policies, repos and secrets);
- Proficiency in Apache Spark (PySpark) and Python for distributed processing;
- Advanced SQL for transformation, optimization, and analytical modeling;
- Experience with Delta Lake (MERGE, schema evolution/enforcement, OPTIMIZE/ZORDER, VACUUM and best practices for writing/reading);
- Proficiency with Azure Data Lake Storage Gen2 (ADLS) and organizing data by domain and layers;
- Experience with Azure Data Factory (pipelines, triggers, parameterization, integrations and monitoring);
- Experience with Git and CI/CD applied to data pipelines and environment promotion;
- Solid knowledge of security (RBAC, Key Vault, identities) and auditing/compliance practices.
- Preferred: Experience with Unity Catalog (governance, permissions and lineage);
- Knowledge of Delta Live Tables and Auto Loader;
- Experience with IaC (Terraform, Bicep/ARM);
- Experience with pipeline observability (Azure Monitor, Log Analytics, alerts, and runbooks);
- Experience with Purview (catalog and governance);
- Azure certifications (AZ-900, DP-900, DP-203) and/or Databricks certifications (Data Engineer Associate/Professional);
- Experience in regulated industries (financial, insurance) with strong audit and compliance requirements.
Benefits
- Multi-benefit card – you choose how and where to use it.
- Study grants for undergraduate, postgraduate, MBA and language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career plan.
- Opportunity for international career development.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Health insurance.
- Dental insurance.
- Life insurance.
Job title
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Degree requirement
Tech skills
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