Exadel

Exadel is an enterprise software development and consulting company that provides custom software solutions and digital transformation services to Fortune 500 clients worldwide.

Internet Software & Services

Information Technology

1K-5K (2700)

Founded 1998

18 open positions

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Data Architect (Databricks Scalability)

2 hours, 37 minutes ago

Brazil, Colombia

Full-time

Senior

Data Architect

Data Science and Analytics

Apache Spark Databricks Generative AI

Apply Now

Exadel

Exadel is an enterprise software development and consulting company that provides custom software solutions and digital transformation services to Fortune 500 clients worldwide.

Internet Software & Services

1K-5K

Founded 1998

View All Jobs 18

Description

Assess the current Databricks environment, including workspace design, compute usage, workloads, dependencies, and data processing patterns.
Document current-state and target-state architecture to improve scalability, resilience, and operational efficiency.
Identify performance bottlenecks, scalability constraints, cost inefficiencies, and architectural gaps across pipelines, clusters, storage, and consumption layers.
Define scalable platform patterns for ingestion, transformation, orchestration, and data serving aligned with enterprise standards.
Establish recommendations for workload optimization, autoscaling, compute governance, and performance tuning to support increasing data volumes and concurrency.
Design and enable AI-ready Databricks capabilities, including reusable patterns for GenAI, retrieval, vector search, model serving, and enterprise knowledge workflows.
Define integration and deployment approaches that improve reliability, maintainability, and release consistency across environments.
Work with architecture, engineering, data, security, and operations stakeholders to translate business and platform needs into technical decisions.
Contribute to implementation planning, technical governance, and execution sequencing for Databricks scalability initiatives.
Produce architecture documentation, engineering guidance, and dependency views to support execution teams and platform sustainability.

Requirements

Strong experience in Databricks architecture, data engineering, or platform engineering roles.
Hands-on expertise in Apache Spark, Delta Lake, cluster tuning, workload optimization, and scalable lakehouse design.
Proven ability to design and optimize high-scale data platforms with a focus on performance, reliability, cost efficiency, and operational excellence.
Experience enabling AI/ML and Generative AI solutions on Databricks, including AI-ready data foundations and production deployment patterns.
Working knowledge of governance and secure platform design, including workspace strategy, access controls, and enterprise data management practices.
Ability to work across technical and business teams and communicate clearly.
Intermediate/Upper-Intermediate English level.

Benefits

International projects.
In-office, hybrid, or remote flexibility.
Medical healthcare.
Recognition program.
Ongoing learning reimbursement.
Well-being program.
Team events and local benefits.
Sports compensation.
Referral bonuses.
Top-tier equipment provision.

Interested in this position?

Apply directly on the company website

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