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Tenth Revolution Group are working with a leading manufacturing organization who are seeking a technically strong professional to lead and manage the implementation, rollout, and subsequent utilization of Databricks across the organization. The successful candidate for this position will be responsible for designing and deploying scalable data pipelines and advanced analytics solutions using the Databricks platform.



Technical Responsibilities:

* Architect and implement data solutions using Databricks, including Delta Lake and Unity Catalog
* Build and optimize ETL/ELT pipelines using PySpark and SQL
* Configure and manage Databricks Workspaces, clusters, and job workflows
* Integrate Databricks with cloud platforms (AWS, Azure, or GCP) and data sources
* Implement CI/CD processes for Databricks using tools like Azure DevOps or GitHub Actions
* Set up data governance, access control, and monitoring within Databricks
* Collaborate with data engineers, platform teams, and stakeholders on technical delivery



Required Technical Expertise:

* Databricks (core platform, Delta Lake, Unity Catalog)
* PySpark and Spark SQL
* Cloud data services (AWS/GCP/Azure)
* CI/CD automation for data pipelines
* Git-based version control and release processes
* Data lake architecture and performance tuning



Candidates for this role must be able to demonstrate a deep technical fluency in Databricks and a strong track record of delivering complex data infrastructure projects

Role: Principal Solutions Architect

Location: Remote, anywhere in the US

* 25-30% travel

Salary: Ideally $225k base, $275-280k OTE

Company Overview:

* IT Services and Consulting
* 600 employees
* Founded in 2014
* Key benefits:

* Remote-first work environment
* Casual, award-winning small business work culture
* Collaborative environment that values autonomy, creativity, and transparency
* Competitive compensation, excellent benefits, 4 weeks of PTO, 10 holidays, and more
* Accelerated learning and professional development through advanced training and certifications

Role Requirements:

* 10+ years as a hands-on Solutions Architect designing and implementing data solutions
* 2+ years of Consulting leadership experience working with external customers, with the ability to multitask, prioritize, frequently change focus, and manage multiple projects
* Experience in Technical Account Leadership, including developing a technology strategy, leading delivery teams, and collaborating with sales and other internal teams
* Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration
* AWS Expert

* Software Development background, architecture experience
* Cloud Native Application expertise

* Highest level of technical engineering
* Can be either a hands-on individual contributor or a people manager overseeing delivery accounts
* AI-ready mindset-many customers are leveraging AI
* Experience in consulting, delivery oversight, and revenue generation
* Strong stakeholder engagement experience-consulting experience preferred but not required
* Programming expertise in Java, Python and/or Scala, SQL, and cloud data platforms such as Snowflake, AWS, Azure, Databricks, and GCP
* Proven ability to lead and manage teams comprising Solution Architects and Data Engineers, fostering growth through coaching, mentoring, and performance management
* Track record of collaborating with client stakeholders, technology partners, and cross-functional teams for seamless project delivery
* Strong cross-practice relationships to drive customer success
* Ownership mindset-committed to ensuring exceptional project execution
* Client-facing written and verbal communication skills
* Experience creating detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, logical system views, and client presentations

Technical Background & Expertise in any of the following:

* Production experience with core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
* Cloud & Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
* Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica IICS, Google DataProc
* Experience working with multiple data sources: Queues, relational databases, files, search, API
* Software development life cycle experience: Design, documentation, implementation, testing, deployment
* Automated data transformation & curation: dbt, Spark, Spark Streaming, automated pipelines
* Workflow Management & Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi
* Methodologies: Agile Project Management, Data Modeling (e.g., Kimball, Data Vault)

Job Description:
We are seeking a highly skilled Principal Solutions Architect with deep expertise in AWS, cloud-native applications, and software engineering. This role is pivotal to our success and expansion within customer accounts, focusing on delivering high-quality, data-driven solutions that enable clients to become "AI Ready."

The ideal candidate will have experience as a Chief Architect or in similar roles within end-user organizations, demonstrating a successful history of designing and delivering cloud-native solutions. We value individuals who possess a blend of end-user insights and consulting expertise.



Key Responsibilities:

* Cloud-Native Application Expertise: Utilize your in-depth knowledge of AWS to design, implement, and enhance cloud-native applications that align with customer needs.
* Technical Leadership: Provide consulting, delivery oversight, and support in revenue generation activities to drive customer satisfaction and project success.
* Stakeholder Engagement: Collaborate closely with key stakeholders, delivering tailored solutions while fostering strong relationships built on trust and transparency.
* Delivery Oversight: Lead a team of engineers and architects or work independently, coordinating with delivery teams to ensure project milestones are achieved effectively.
* Strategic Consulting: Guide clients through the intricacies of data modeling, AI integration, and other advanced analytics frameworks, enhancing their capabilities to prepare for future AI implementations.



Qualifications:

* Experience:

* Extensive expertise in software development and architecture, particularly within cloud-native environments (AWS).
* Strong background in data solutions, data modeling, and AI applications, with hands-on experience in Snowflake being a significant advantage.
* Experienced in consulting and delivery oversight, with a focus on revenue generation and high-impact project delivery.



* Adaptable Leadership: Ability to manage projects effectively, with a focus on mentoring and guiding team members



* Technical Skills:

* Proficiency in AWS services such as EC2, Lambda, S3, RDS, and Redshift.
* Experience with containerization and orchestration platforms, such as Docker and Kubernetes.
* Familiarity with CI/CD pipelines and DevOps practices, using tools like Jenkins, GitLab CI, or AWS CodePipeline.
* Strong knowledge of databases, including SQL and NoSQL technologies (e.g., DynamoDB, MongoDB).
* Experience with data ingestion and processing frameworks (e.g., Apache Kafka, Apache Spark, or AWS Glue).
* Understanding of microservices architecture and RESTful API design principles.
* Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK Stack) for operational excellence.