Senior Databricks Engineer

🕒 Maio 13

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

💵 $135.000 - $185.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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HIKE2

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

📋 Conformidade

☁️ SaaS

Artificial Intelligence • Compliance • SaaS

A HIKE2 é uma empresa de consultoria em tecnologia que se especializa em ajudar clientes de indústrias regulamentadas a aproveitar tecnologias emergentes para acelerar oportunidades e eficiências. A empresa fornece serviços de consultoria especializados na interseção da tecnologia, conformidade regulatória e crescimento estratégico. A HIKE2 capacita indústrias como escritórios de advocacia, serviços financeiros, companhias de seguros, provedores de serviços empresariais e empresas de SaaS de alta tecnologia ao oferecer soluções tecnológicas personalizadas que abordam desafios complexos e melhoram o engajamento, a eficiência e os resultados de crescimento. Seus serviços incluem Inteligência Artificial, Dados & Analytics, Soluções em Nuvem e Salesforce, com foco em estratégia de conformidade holística, inovação ética e iniciativas de crescimento estratégico.

Descrição

• Design and build large-scale data platforms on Databricks (Delta Lake, Spark, Unity Catalog) in Azure • Develop and maintain batch and streaming data pipelines for high-volume, complex data sources • Implement medallion/lakehouse architectures from the ground up in greenfield environments • Build and optimize data models to support analytics, reporting, and downstream applications • Integrate Databricks with enterprise systems (APIs, event streams, warehouses, ML workflows) • Tune Spark jobs and pipelines for performance, reliability, and cost at scale • Support production deployments, including CI/CD pipelines, testing, and release management • Partner directly with enterprise clients to translate requirements into working technical solutions • Collaborate with architects, engineers, and data scientists across multiple workstreams • Balance speed and quality, knowing when to move fast and when to harden solutions • Make pragmatic decisions in ambiguous, evolving environments (especially greenfield builds) • Contribute hands-on while also guiding design and approach across the team • Communicate tradeoffs clearly to both technical and non-technical stakeholders • Work within modern engineering practices (version control, code reviews, automated testing) • Demonstrated ability to mentor and guide data engineers and analysts

🎯 Requisitos

• Deep Databricks-native expertise, including experience architecting and implementing end-to-end lakehouse solutions that run primarily or entirely on Databricks. • Advanced experience with modern Databricks architecture patterns, including declarative pipelines / Delta Live Tables, Unity Catalog, Delta Lake, workflow orchestration, governance, performance tuning, and operational monitoring. • Familiarity with infrastructure-as-code (Terraform, Bicep), environment provisioning, and CI/CD automation (Github, Azure DevOps) for Databricks-based platforms. • Strong learning agility, technical curiosity, and comfort using AI-enabled development workflows or automation tools to accelerate delivery and improve quality. • Familiarity with other modern cloud data architectures and tools, including cloud-native data warehouses (Snowflake, BigQuery, Redshift), data lakes, orchestration frameworks (Airflow/Astronomer), transformation tools (dbt), catalog/governance platforms, and scalable batch or streaming data processing services (Kafka, Kinesis).

🏖️ Benefícios

• medical • dental • vision • 401k • holiday pay • vacation • personal and family sick leave • and more.