Databricks Solution Architect

Bits In Glass

1d

About The Position

Join a company that’s leading the way in AI and automation consulting. Bits In Glass (BIG) offers a portfolio spanning 10+ top technologies across business applications, data, process, cloud, and AI. The company fosters a supportive, driven team environment where collaboration and celebrating wins are key. Employees tackle real business challenges, grow their skills, and make a significant impact. BIG has earned global recognition as a Great Place to Work and received multiple industry partner awards. The Databricks Solution Architect will join the Delivery team, providing high-level architectural direction and addressing sophisticated technical challenges. This role also serves as a key pre-sales engineering resource, partnering with customers to design scalable data architectures using Databricks technology and services. The architect will leverage technical depth and business knowledge to drive complex technology discussions, expressing the value of the Databricks platform throughout the sales lifecycle, and engaging with customer technical leads to become a trusted advisor. BIG is a high-growth Cloud Consulting firm with offices in Edmonton, Calgary, Toronto, Denver, India, and the United Kingdom, serving clients in Canada, UK, India, and the US. The firm specializes in providing business value through modern platforms like Pega, Appian, MuleSoft, and Boomi, offering a full range of services to automate businesses and leverage web and mobile technologies.

Requirements

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka) Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS) Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• 3+ years of working directly with Databricks
• At least one Databricks certification at the professional level
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• Working knowledge of the hyperscaler technologies like AWS, Azure and GCP
• Excellent written and verbal communication skills for diverse audiences
• Problem-solving abilities with a focus on customer-centric solutions
• Strong project management skills with attention to deadlines and quality
• A customer-first mindset to align solutions with business goals
• Meticulous attention to detail in documentation and solution delivery

Nice To Haves

• A degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) would be highly desirable.

Responsibilities

• Responsible for the end-to-end architecture of solutions centered around the Databricks Lakehouse Architecture, including its assembly and integration into the overall data architecture for our customers
• Define the platform architecture documentation, data pipelines design and documentation, work-effort estimation and hands-on sophisticated development.
• Implement technical solutions for enterprise systems and build trust with customers in Databricks ability to meet their business requirements
• Work with Sales and other essential partners to support account strategies and play a senior pre-sales engineer role to help customers grow their usage of the Databricks platform.
• Build demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Work with Data Scientists and ML Developers to support the development of AI and GenAI solutions.
• Be a resident expert in Databricks and follow all the developments in the platform to ensure we can provide the latest advice to our customers.
• Understand and guide on what frameworks, platform application, or technical stack can be used to devise a solution.
• Responsible for the management and mitigation of technical risks, ensuring that the solution services can be realistically delivered by the underlying technology components.
• Conduct in-depth Databricks specific code reviews to optimize resource utilization and capabilities.
• Participate in the continuous improvement of Databricks products by making technical contributions and by providing critical updates from the field.
• Actively test and clearly document implementations, so others can easily understand
• Provide mentorship on advanced Databricks technical capabilities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 101-250 employees