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Administration

• Plan, build, and execute pipelines in Databricks.
• Develop, validate, and optimize SQL and PySpark scripts.
• Ensure efficient cluster usage and optimize cost and performance.
• Design tables and data structures optimized for performance.
• Implement data quality gates and rules in Databricks pipelines and Delta Live Tables (DLT).
• Ensure that only trusted data reaches consumption layers.
• Perform logical and physical modeling in the Lakehouse.
• Keep the data model repository up to date.
• Maintain documentation and metadata catalogs.
• Support administration of the Databricks Workspace.
• Manage access profiles.
• Enforce security and governance policies.
• Contribute to governance practices and standardization of data assets.
• Ensure data integrity, traceability, and consistency.

Data Administrator – Mid Level

Analyst

• Support the data project management team in operational and organizational activities.
• Assist in reviewing documentation (requirements, meeting minutes, presentations, plans, status reports), ensuring clarity and consistency.
• Help organize schedules, meeting invites and follow-ups for meetings with internal teams and clients.
• Prepare and update status reports and tracking dashboards (progress, risks, open items) based on information provided by management.
• Record and monitor action items, risks, and decisions in management tools (Jira, Planner, Excel, etc.).
• Support the preparation of materials for client meetings (presentations, executive summaries, progress overviews).
• Assist in gathering and organizing business requirements, always under the supervision of management or more experienced analysts.
• Keep documentation centralized and organized (Confluence, shared folders, SharePoint or equivalent).
• Support communication between the technical team and the client, ensuring important information is recorded and shared.

Requirements Analyst, Junior

Data Engineer

• Provide technical leadership for data architecture in a Lakehouse environment, ensuring scalability, performance, and security;
• Act as a bridge between business areas, data engineering, and analytics teams, translating needs into technical data solutions;
• Define, evolve, and standardize data architecture on the Databricks platform (clusters, notebooks, Delta Lake, Delta Live Tables – DLT);
• Design and implement batch and streaming data pipelines, including full and incremental loads (CDC) from source systems (e.g., Oracle) into the Lakehouse;
• Ensure data governance best practices, including cataloging, security, lineage, and technical documentation;
• Define partitioning, modeling, and optimization strategies for Delta Lake tables to support high data volumes;
• Support data development teams in resolving complex performance, architecture, and data quality issues;
• Conduct technical reviews of code (Python, SQL, notebooks) and data solutions, ensuring adherence to defined standards;
• Participate in impact analysis, solution design, and architectural decision-making for new projects and platform evolutions;
• Provide production support and troubleshooting for pipelines and critical platform components in production environments;
• Collaborate on defining and implementing Data Quality practices (rules, monitoring, alerts) and data observability;
• Help organize the technical backlog of the data platform and plan deliveries together with the team;
• Identify technical risks and propose structural improvements to the data architecture, focusing on reliability, cost, and performance.

Data Administrator – Mid Level

Requirements Analyst, Junior

Senior Data Architect