Databricks Practice Lead

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KMS Technology, Inc.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2010

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A KMS Technology, Inc. é uma empresa global de serviços de software especializada em fornecer serviços de desenvolvimento de software e consultoria de ponta a ponta. A empresa oferece uma ampla gama de serviços, incluindo engenharia de software, garantia de qualidade e testes automatizados, IA e aprendizado de máquina, migração para a nuvem e consultoria tecnológica. A KMS Technology se dedica a habilitar a transformação digital de seus clientes, aproveitando tecnologias de ponta e garantindo software de alta qualidade que cresce conforme as necessidades do negócio. A empresa opera em modelos de entrega onshore, nearshore e offshore para fornecer soluções ágeis, confiáveis e econômicas. Com foco em empresas de tecnologia e na comunidade de private equity, a KMS Technology apoia a inovação e o avanço tecnológico por meio de seus serviços especializados.

Descrição

• Lead the technical direction and growth of the Databricks Practice, establishing standards, best practices, and reusable solution accelerators. • Design and review enterprise-scale data platform architectures using Databricks, Apache Spark, and Microsoft Azure. • Provide technical leadership and architectural guidance across multiple client engagements. • Partner with clients to understand business challenges and recommend scalable data and analytics solutions. • Lead technical discovery sessions, solution workshops, architecture reviews, and design discussions with clients. • Mentor and coach Data Engineers, Technical Leads, and Solution Architects, fostering technical excellence and career development. • Define best practices for data engineering, software engineering, DevOps, security, governance, and operational excellence. • Establish standards for ETL/ELT development, data quality, monitoring, performance optimization, and production support. • Drive adoption of modern data architectures, including Lakehouse, Delta Lake, and event-driven data processing. • Collaborate with Delivery Managers and Engineering Managers to support project planning, staffing, technical risk management, and solution quality. • Support pre-sales activities, including solution design, technical proposals, effort estimation, client presentations, and proof-of-concept initiatives. • Stay current with Databricks platform capabilities and emerging technologies, identifying opportunities to improve services and expand practice offerings. • Promote the adoption of AI-assisted software development and engineering best practices across the practice.

🎯 Requisitos

• 8+ years of professional experience in Data Engineering, Data Platform Engineering, or related disciplines. • 3+ years of experience leading technical teams, architecture initiatives, or data engineering practices. • Deep expertise with Databricks, including workspace administration, notebooks, jobs, workflows, Unity Catalog, Delta Lake, and Lakehouse architecture. • Strong experience developing scalable data pipelines using Apache Spark (PySpark). • Extensive experience with Microsoft Azure, including services such as Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Event Hubs, Azure Key Vault, and Azure DevOps. • Strong programming skills in Python, including clean coding practices and object-oriented programming principles. • Experience with orchestration tools such as Apache Airflow or Dagster. • Experience working with streaming technologies such as Apache Kafka or Azure Event Hubs. • Strong understanding of data architecture, dimensional data modeling, metadata management, and enterprise data platform design. • Experience implementing data governance, data quality, security, and compliance practices. • Experience building and optimizing enterprise ETL/ELT solutions. • Strong knowledge of SQL and relational database concepts. • Experience deploying cloud-native data solutions, preferably on Microsoft Azure. • Excellent consulting, presentation, and stakeholder management skills with experience interacting directly with enterprise clients. • Experience leading architecture discussions, technical governance, and solution reviews. • Ability to lead multiple initiatives simultaneously while providing technical direction across distributed teams. • Experience working in Agile development environments.

🏖️ Benefícios

• 15 days of PTO (in year zero, from the first year onwards it is 3 days per year). • 5 days' leave for the death of immediate family members, negotiable. • Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children). • Annual performance bonus (≈10% of annualized salary). • Annual salary adjustment. • Employee Referral Bonus. • Paid Certifications / Courses Coursera License. • 5% Savings Fund. • 5% Grocery Vouchers.