Join to apply for the Solutions Architect - Databricks role at Lumenalta . 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 ecosystem. Proven track record of designing and implementing data architectures that support large-scale data pipelines and analyses. 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 and data modeling. 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. Salary range: $75,000 - $140,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope. In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: Flexible working hours in a remote environment. Health insurance (medical and dental) for W2 Employees. 401K Contribution. A professional development fund to enhance your skills and knowledge. 15 days of paid time off annually. Access to soft-skill development courses to further your career. This is a full-time position requiring a minimum of 40 hours per week , Monday through Friday. At Lumenalta , we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members. Applications close on March 31, 2025. Seniority level Director Employment type Full-time Job function Engineering, Information Technology, and Consulting Industries IT Services and IT Consulting #J-18808-Ljbffr Lumenalta
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