Databricks Solution Architect

🕒 Agosto 5

⛰️ Colorado – Remoto

⛰️ Colorado – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 14%

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Bits In Glass

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2002

💼 Consultoria

📦 Logística

🏭 Manufatura

💰 Private equity em 2024-03

Consulting • Logistics • Manufacturing

A Bits In Glass é uma empresa global de consultoria boutique que projeta, desenvolve e gerencia soluções de automação inteligente e integração para clientes empresariais. A empresa é especializada em AI e engenharia de dados empresariais, desenvolvimento low-code/no-code, automação de processos (incluindo RPA e BPA), integração de aplicações empresariais, implementações de CRM e serviços de gestão de aplicações, trabalhando com parceiros como Appian, AWS, UiPath, MuleSoft, Snowflake e Creatio. A Bits In Glass atende indústrias como serviços bancários e financeiros, seguros, transporte e logística, manufatura e distribuição, imóveis, saúde e o setor público, ajudando as organizações a escalarem automação, melhorarem a eficiência e transformarem dados em insights acionáveis.

Descrição

• Design scalable Databricks solution architectures using Lakehouse, Delta Lake, and Unity Catalog patterns tailored to customer environments and business goals • Lead technical discovery workshops covering customer objectives, data challenges, and current-state architecture • Build working prototypes, proofs-of-concept, and reference architectures for the Databricks Lakehouse Platform • Guide customers on data pipeline, data modeling, and platform governance best practices • Advise on integrating Databricks with AWS, Azure, GCP, and adjacent data tooling • Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases • Identify and mitigate technical risks to prepare delivery teams for success • Translate complex technical concepts into clear business value for technical stakeholders and executives • Partner with account teams throughout the sales process to shape technical strategies • Collaborate with Data Scientists and ML Engineers on AI-powered demo assets and reference architectures • Serve as a resident Databricks expert within BIG and enable the broader team • Contribute reusable accelerators, demo assets, and technical playbooks • Stay current on Databricks releases and evolving data and AI patterns • Represent BIG at customer events, webinars, and Databricks partner activities • Provide field feedback to Databricks product and partner teams • Travel up to 15% for customer meetings and partner collaboration

🎯 Requisitos

• 3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity • 5+ years in customer-facing technical roles such as solutions architecture, technical consulting, or sales engineering • Experience designing, presenting, and delivering production data architectures for enterprise customers, including Lakehouse, Delta Lake, and Unity Catalog patterns, on AWS, Azure, and/or GCP • Databricks Professional-level certification, such as Data Engineer Professional or Machine Learning Professional • Strong expertise in at least one core data domain: big data engineering, Data Warehousing & ETL, or Data Science & ML • Fluency in Python and SQL • Exceptional verbal, written communication, and presentation skills • Ability to lead business-level meetings with technical and non-technical clients and internal team members • Ability to translate complex topics into clear business value and earn buy-in from engineers and executives • Experience with Spark and Kafka, or Data Warehousing & ETL, or Data Science & ML • Nice to have: degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field • Nice to have: experience with dbt, Fivetran, Airflow, or Delta Sharing • Nice to have: familiarity with AI/GenAI frameworks and LLM application patterns • Nice to have: Databricks GenAI Engineer Associate certification • Nice to have: exposure to enterprise engagement cycles • Nice to have: experience with frontier LLMs such as Claude Code for SDLC acceleration

🏖️ Benefícios

• Join a Certified Great Place to Work with a people-first, collaborative culture • Access to 10+ cutting-edge technology practices and continuous learning opportunities • Competitive compensation • Benefits • Flexible, remote-friendly work environment • Team that celebrates wins together