Edtech.com's Summary

Risepoint is hiring a Principal Data Architect to lead and implement Databricks-based data solutions. The role involves defining architectural vision, creating reusable reference architectures, and providing hands-on expertise and mentorship for scalable data platform development.

Highlights

Lead architectural design and hands-on development on the Databricks Lakehouse Platform.
Develop reusable, production-quality reference architectures and best practice patterns.
Provide expert consulting and thought leadership on big data, ML, and cloud-native solutions.
Define standards for data modeling, performance tuning, security, and cost management on Databricks.
Mentor engineering teams through reviews, paired programming, and technical guidance.
Expertise required in Apache Spark, Delta Lake, Python/Scala, SQL, and Databricks platform features including Unity Catalog and Delta Live Tables.
Experience with data mesh, real-time streaming (Kafka), MLOps, and CI/CD pipelines (preferably GitHub Actions).
Strong cloud knowledge in AWS/Azure and proficiency in Infrastructure as Code tools like Terraform and YAML.
Minimum qualifications include a Bachelor’s or Master’s degree in computer science or related field and 8+ years in data or software engineering, with 3+ years specifically on Databricks.
Comprehensive benefits include PTO, medical, dental, vision, company-paid life and disability insurance, retirement with match, parental leave, and professional development programs.

Principal Data Architect Full Description

Principal Data Architect

US - Remote

Full time

Risepoint assists primarily regional universities in increasing their access and impact by making their academic programs available to students online. Founded in 2007, Risepoint's mission is to expand access to high-quality, affordable, and workforce-relevant education, especially for working and adult students. Risepoint brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners.

About the Role

We're seeking a skilled, hands-on Principal Databricks Architect to serve as our top technical expert and lead practitioner for the Databricks Platform. This role combines architectural leadership with practical implementation. You will define the architectural vision and develop core, reusable reference architectures and patterns that accelerate our teams. The ideal candidate is a Databricks master who leads by example through hands-on development and empowers teams to build robust, scalable data solutions.

Key Responsibilities

Develop and maintain production-quality reference architectures and reusable patterns that showcase best practices and accelerate engineering teams.
Architect and build proofs-of-concept for end-to-end solutions on the Databricks Lakehouse Platform, validating complex designs hands-on.
Serve as the primary Databricks consultant, providing expert guidance beyond diagrams, including code, best practices, and hands-on support.
Provide thought leadership around big data, machine learning, and cloud-native solutions.
Define, document, and evangelize Databricks development standards for data modeling, performance tuning, security, and cost management.
Mentor engineers through architectural reviews, code reviews, paired programming, and design sessions, boosting technical proficiency across the organization.

Core Qualifications:

Bachelor’s or master’s degree in computer science or related field.
8+ years of experience in data architecture or software engineering, data engineering and data warehousing including 3+ years with Databricks.
Expert-level knowledge of Apache Spark, Delta Lake, Python/Scala, and SQL.
Proven hands-on technical architect and advisor on large-scale data projects.
Excellent communication skills with ability to influence and guide technical teams and stakeholders.
Strategic thinker passionate about solving complex data challenges and driving business outcomes.
Strong critical thinking and well-reasoned architectural decision-making skills.

Technical Expertise:

Databricks Mastery (Including):

Unity Catalog: data governance and security design and implementation.
Delta Lake & Delta Live Tables: architecting scalable, reliable data pipelines.
Experience with data mesh, real-time streaming (e.g., Kafka), and MLOps.
Performance & Cost Optimization: Spark job tuning, cluster optimization, cost management.
MLOps: practical ML lifecycle management with MLflow.
Databricks SQL: analytical workload design and optimization.
Strong understanding of DBT
Cloud & Infrastructure: deep AWS/Azure knowledge and expertise with Infrastructure as Code (Terraform, YAML).
Data Engineering & Programming: strong data modeling, ETL/ELT development, and advanced Python and SQL skills.
CI/CD & Automation: experience designing and implementing CI/CD pipelines (GitHub Actions preferred) for data and ML workloads.
Observability: familiarity with monitoring, logging, and alerting implementations for data platforms.
Automation: platform is ephemeral; all changes via Terraform and Python. Expertise in both is required.

Why Join Us?

Opportunity to shape data strategy at scale.
Collaborative, innovative team culture.
Cutting-edge technology stack with room for experimentation.
Competitive compensation and growth opportunities.

Risepoint offers the following comprehensive benefits:

18 days PTO + Winter Shutdown
12 designated holidays + 1 floating holiday
Medical – four options
Dental
Vision
Life & Disability (company paid)
Flexible Spending Account & Health Savings Account
Retirement plan with company match
Maternity / Paternity / Parental Leave (company paid)
Volunteer Time Off

Supplemental Benefits:

Wellness program
Alternative medicine options
Pet discounts
Accident, Critical Illness and Hospital Indemnity

Personal and Professional Development:

Continuous Professional and Leadership Development Programs
Tuition Reimbursement for employees and their dependents
Rewards & Recognition programs

Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.

Original Job Description

Principal Data Architect

US - Remote

Full time

About the Role

Key Responsibilities

Develop and maintain production-quality reference architectures and reusable patterns that showcase best practices and accelerate engineering teams.
Architect and build proofs-of-concept for end-to-end solutions on the Databricks Lakehouse Platform, validating complex designs hands-on.
Serve as the primary Databricks consultant, providing expert guidance beyond diagrams, including code, best practices, and hands-on support.
Provide thought leadership around big data, machine learning, and cloud-native solutions.
Define, document, and evangelize Databricks development standards for data modeling, performance tuning, security, and cost management.
Mentor engineers through architectural reviews, code reviews, paired programming, and design sessions, boosting technical proficiency across the organization.

Core Qualifications:

Bachelor’s or master’s degree in computer science or related field.
8+ years of experience in data architecture or software engineering, data engineering and data warehousing including 3+ years with Databricks.
Expert-level knowledge of Apache Spark, Delta Lake, Python/Scala, and SQL.
Proven hands-on technical architect and advisor on large-scale data projects.
Excellent communication skills with ability to influence and guide technical teams and stakeholders.
Strategic thinker passionate about solving complex data challenges and driving business outcomes.
Strong critical thinking and well-reasoned architectural decision-making skills.

Technical Expertise:

Databricks Mastery (Including):

Unity Catalog: data governance and security design and implementation.
Delta Lake & Delta Live Tables: architecting scalable, reliable data pipelines.
Experience with data mesh, real-time streaming (e.g., Kafka), and MLOps.
Performance & Cost Optimization: Spark job tuning, cluster optimization, cost management.
MLOps: practical ML lifecycle management with MLflow.
Databricks SQL: analytical workload design and optimization.
Strong understanding of DBT
Cloud & Infrastructure: deep AWS/Azure knowledge and expertise with Infrastructure as Code (Terraform, YAML).
Data Engineering & Programming: strong data modeling, ETL/ELT development, and advanced Python and SQL skills.
CI/CD & Automation: experience designing and implementing CI/CD pipelines (GitHub Actions preferred) for data and ML workloads.
Observability: familiarity with monitoring, logging, and alerting implementations for data platforms.
Automation: platform is ephemeral; all changes via Terraform and Python. Expertise in both is required.

Why Join Us?

Opportunity to shape data strategy at scale.
Collaborative, innovative team culture.
Cutting-edge technology stack with room for experimentation.
Competitive compensation and growth opportunities.

Risepoint offers the following comprehensive benefits:

18 days PTO + Winter Shutdown
12 designated holidays + 1 floating holiday
Medical – four options
Dental
Vision
Life & Disability (company paid)
Flexible Spending Account & Health Savings Account
Retirement plan with company match
Maternity / Paternity / Parental Leave (company paid)
Volunteer Time Off

Supplemental Benefits:

Wellness program
Alternative medicine options
Pet discounts
Accident, Critical Illness and Hospital Indemnity

Personal and Professional Development:

Continuous Professional and Leadership Development Programs
Tuition Reimbursement for employees and their dependents
Rewards & Recognition programs

Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.

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