Solutions Architect - Databricks

Lumenalta; Toronto; On-site; CAD 153,000 - 245,000; Full time

Job summary

A leading company in IT Services is seeking a Databricks Solutions Architect to design and implement scalable data solutions. The role involves collaborating with enterprise clients to tackle complex data challenges using modern cloud technologies. Ideal candidates will have extensive experience in data architecture and a strong command of Python, PySpark, and SQL.

Qualifications

• 10+ years in senior data engineering or solutions architect role.
• Strong focus on Databricks, Azure, or AWS cloud ecosystems.
• Experience with large-scale data pipelines and analytics.

Responsibilities

• Architect end-to-end scalable data solutions using Databricks, Azure, and AWS.
• Develop robust data architectures and implement ETL pipelines.
• Lead design and implementation of data platforms.

Skills

Python

PySpark

SQL

Data Architecture

Data Governance

ETL Development

Collaboration

Performance Optimization

Job description

1 week ago Be among the first 25 applicants

At Lumenalta, we create impactful software solutions that drive innovation and transform businesses. Since 2000, we’ve partnered with visionary leaders to build cutting-edge tech, solve complex challenges, and deliver results faster through our elite teams and tech-driven approach. Join us in shaping the future of technology.

What You’ll Be Working On:

At Lumenalta, we partner with enterprise clients to build cutting-edge digital products that interact with hundreds of millions of customers, transactions, and data points. As a Databricks Solutions Architect, you will be pivotal in designing and implementing scalable, high-performance solutions to tackle the most demanding data challenges in various industries. You will have the opportunity to drive end-to-end architecture and help our clients unlock the full potential of their data using Databricks and other modern cloud technologies.

We are looking for someone who can thrive in a fast-paced, collaborative environment, with experience in industries such as FinTech, Transportation, Insurance, Media, or other complex, multifactor environments.

Key Responsibilities:

• Solutions Design: Architect end-to-end scalable data solutions using Databricks, Azure, AWS, and other cloud-based services to meet client requirements.
• Data Strategy & Architecture: Develop robust data architectures, implement ETL pipelines, and establish data governance frameworks to ensure data accuracy and consistency.
• Technical Leadership: Lead the design and implementation of data platforms, define best practices, and mentor team members to elevate technical competencies within the organization.
• Advanced Analytics & Machine Learning: Create pipelines and workflows to support advanced analytics and machine learning initiatives, utilizing Databricks and other cloud-based services.
• Collaboration & Client Engagement: Act as a trusted advisor, working closely with client stakeholders to understand business needs, present architectural solutions, and implement strategies that deliver high-impact results.
• Performance Optimization: Identify bottlenecks and recommend solutions to optimize data workflows and architecture for both cost and performance.
• Innovation & Experimentation: Champion using cutting-edge data technologies and methodologies to drive innovation and experimentation within client projects.

Qualifications & Experience:

• 10+ years of experience in a senior data engineering or solutions architect role, with a strong focus on Databricks, Azure, or AWS cloud ecosystems.
• Proven track record of designing and implementing data architectures that support large-scale data pipelines and analytics.
• Strong proficiency in Python, PySpark, and SQL for data processing and manipulation.
• Extensive experience in creating ETL pipelines from scratch, handling large datasets, and developing solutions that align with business goals.
• Extensive experience interacting with C-Suite level stakeholders
• Hands-on experience with data warehousing concepts, data modelling, and building data marts.
• Industry experience in financial services, logistics, or other complex domains is highly desirable.
• Fluency in verbal and written English, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Personality traits: Analytical, solution-oriented, proactive, team player, and continuously learning.

What's it like to work at Lumenalta?

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Consulting

• Industries

  IT Services and IT Consulting

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