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Solutions Architect - Databricks

Lumenalta

Tulsa (OK)

Remote

USD 75,000 - 140,000

Full time

Yesterday
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Job summary

An established industry player seeks a Solutions Architect specializing in Databricks to design and implement high-performance data solutions. This role involves collaborating with enterprise clients to tackle complex data challenges, driving innovation with cutting-edge technologies, and optimizing data workflows. The ideal candidate will thrive in a dynamic environment, leveraging their expertise in cloud ecosystems and advanced analytics to deliver impactful results. Join a team that values professional growth and work-life balance while making a difference in various industries.

Benefits

Flexible working hours
Health insurance (medical and dental)
401K Contribution
Professional development fund
15 days of paid time off annually
Access to soft-skill development courses

Qualifications

  • 7+ years in data engineering or solutions architecture with a focus on Databricks.
  • Proven track record in designing large-scale data architectures.

Responsibilities

  • Architect end-to-end scalable data solutions using Databricks and cloud services.
  • Lead design and implementation of data platforms and mentor team members.

Skills

Python
PySpark
SQL
Data Architecture
ETL Development
Cloud Technologies (Azure, AWS)
Data Governance
Advanced Analytics

Education

Bachelor's Degree in Computer Science or related field
Master's Degree (preferred)

Tools

Databricks
Azure
AWS

Job description

Join to apply for the Solutions Architect - Databricks role at Lumenalta

3 days ago Be among the first 25 applicants

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:

  • 7+ 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.
  • Hands-on experience with data warehousing concepts, data modeling, 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?

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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Consulting, Engineering, and Strategy/Planning
  • Industries
    IT Services and IT Consulting, Software Development, and IT System Custom Software Development

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