Databricks Architect

Are you eager to invest your skills and expertise into creating impactful and sustainable data and analytical solutions? Adastra may have just what you are looking for.

As a Cloud Architect, you will be at the forefront of our value-driven approach to delivering top-quality IT solutions. Your expertise will help build reliable, scalable, and secure infrastructures, enhancing effectiveness and efficiency across data streams and pipelines. The ideal candidate will have a strong background in classical data warehousing or big data as well as more modern data platform solutions. We seek a well-rounded professional with Databricks experience who can seamlessly apply technical and communication skills to advance data solutions and drive strategic success.

Location: Greater Toronto Area, ON (Onsite/Hybrid) 

Status: Full-Time, Permanent

Responsibilities:

• Analyze the current state and identify/document gaps between the current state and business requirements
• Work closely with stakeholders to understand business processes and refine business requirements
• Contribute towards technical presales efforts, shaping cloud strategy and solution proposals 
• Define the future state solution architecture, ensuring it meets security, availability, and business needs
• Develop and define future state data architecture and models aligned with business objectives
• Outline high-level steps, plans, and resource requirements necessary to achieve the future state
• Complete customer-required specifications for requirements, architecture, and design to secure solution approval from all stakeholders
• Establish governance processes to ensure the effective adoption and maintenance of solutions
• Develop and enforce best practices for consistent development, implementation, and maintenance of solutions
• Lead and manage teams through the entire solution development and delivery lifecycle
• Maintain regular communication with stakeholders, providing updates on progress, challenges, and changes
• Effectively manage and resolve issues that arise during the solution life cycle
• Investigate and resolve complex challenges that block developer progression
• Stay informed about the latest technology developments and maintain a "trusted advisor" role with stakeholders
• Estimate software and service pricing related to solution design and implementation
• Technical Communication: Capably explain technical projects and their business impact to management and non-technical stakeholders
• Conduct assessments, identify bottlenecks and gaps in infrastructure, recommend improvements, and implement changes

Qualifications, Skills & Experience:

• Formal education in IT, Computer Science, Computer Engineering, or related fields
• A minimum of 8 years of experience in a Data Engineering or Data Architect role, demonstrating deep technical knowledge and leadership in data solutions
• Experience with SQL, including DDL, DML, optimizing, and implementing security measures
• A minimum of 5 years of experience in data modeling, demonstrating strong analytical and design capabilities
• Hands-on expertise with Big Data, Lakehouse and Data Warehouse technologies, including experience in optimizing data access for speed, reliability, and business-driven velocity
• Proven track record in implementing and leading cloud migration projects, displaying deep understanding of the associated challenges and best practices
• Experience with various cloud deployment models, including IaaS, PaaS, SaaS, and Hybrid environments
• Expert-level proficiency with Azure Databricks
• Energetic and results-oriented, with a proven ability to leverage technology to meet business objectives, improve processes, and deliver efficiencies
• Ability to work independently in a fast-paced environment, with a strong initiative to drive ongoing optimization and business improvements
• Excellent client-facing communication skills, both written and verbal, with the ability to collaborate effectively with onshore and offshore teams

Nice to Have:

• Previous experience in technical presales for data solutions, able to articulate business value and build client trust 
• One or more Databricks certifications would be an asset
• Proficiency in Python, R, Scala, or similar scripting languages
• Expert-level proficiency in one of Snowflake or Microsoft Fabric
• Azure and/or AWS certifications

About Adastra

For more than 25 years, Adastra Corporation has been hyper-focused on data and the infrastructures to support it  We are an international consulting company working with businesses and IT Leaders to extract value through data and analytic solutions in the domains of Cloud, Data Management, Analytics, AI and ML, Governance, Hyper Automation, and Enterprise Application Development  Our team of experts, combined with our worldclass data management platform, helps provide trusted insights, establish frameworks, enforce best practices,  and streamline processes for around-the-clock global coverage  Adastra has a proven track record of helping organizations of all sizes – from SMEs to Fortune 1000s – achieve their data transformation goals, whether that be accelerating innovation, improving operational excellence, or creating unforgettable customer experiences. 

What We Offer

• Opportunity for advancement and career progression
• Competitive compensation package
• Comprehensive benefits plan
• Successful referral program
• Satisfaction of working for a reputable company 
• A flexible, dynamic, and diverse workplace

Equal Opportunity Employer

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code In addition, accommodation will be provided during the hiring process Adastra Corporation's implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance

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