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# Salesforce Developer

- **Company:** CareerCircle
- **Location:** Radnor, PA, United States
- **Salary:** $162,000.0 - $270,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Cyber Security, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integrity, Data Transformation, Database Applications, Relational Databases, DevOps, Identity and Access Management, JavaScript Libraries, Python (Programming Language), PostgreSQL, Machine Learning, Meter Data Management (Flow Meters), Metadata, Metadata Repositories, Metadata Standards, MySQL, Systems Development Life Cycle, Release Management, Cloud Services, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Workflow Management Systems, Enterprise Data Management, Data Storage Technologies, ReactJS, Apache Spark, Generative AI, Git, Pyspark, Infrastructure Automation Frameworks, Information Technology, Operational Systems, Data Management, Machine Learning Operations, Api Design, Terraform, Software Version Control, Data Pipelines, Amazon Redshift, Databricks
- **Published:** August 18, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/pa/philadelphia/d578e777-24c2-40e7-8742-6d353ebff674

## About the Role

Loans
DevOps
MLflow
Billing
Advising
Metadata
Terraform
Pipelines
Consulting
Management
Automation
Governance
Databricks
Warehousing
Scalability
Cataloguing
Genie Lifts
Traceability
Data Quality
Data Science
Unity Engine
Communication
Observability
Data Modeling
Collaboration
Cyber Security
Test Automation
Microsoft Azure
Access Controls
Data Governance
Solution Design
Cost Management
Business Process
Machine Learning
Data Engineering
Data Architecture
Release Management
External Reporting
Energy Consumption
Workflow Management, * Bachelor's degree from an accredited college/university.

 * 7+ years of relevant experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery.
 * 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations.
 * Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology, and translate that context into practical platform and solution architecture
 * Strong experience with SQL, Python, and Spark-based development for data engineering, automation, and platform operations.
 * Strong experience with Unity Catalog, including access controls, catalogs, schemas, external locations, storage credentials, lineage, and governed data organization.
 * Experience with cloud platforms such as Azure, AWS, or GCP, including identity, networking, storage, security, and deployment considerations for cloud-native data platforms.
 * Experience developing architecture artifacts, technical designs, platform standards, implementation roadmaps, and operational documentation for technical and non-technical audiences.
 * Ability to lead technical discussions with clients, evaluate tradeoffs, communicate architecture decisions, and work effectively in consulting or project-based delivery environments.
 * Familiarity with data governance, DevOps, CI/CD, infrastructure automation, monitoring, cost management, and secure software delivery practices.
 * Travel: will need to be onsite in NY at least one day every other week

What Would Be Nice To Have:

 * Active Databricks certification, such as Databricks Certified Data Engineer, Machine Learning Engineer, GenAI Engineer, or related professional certification.
 * Experience architecting and administering advanced AI/ML and application capabilities within Databricks (MLflow, AI Gateway, Genie One, Databricks Apps).
 * Experience developing Databricks Apps or similar data-driven applications, including React-based front ends, API architecture, secure integration patterns with Delta Tables and Unity Catalog, and agentic workflow patterns that incorporate Databricks Agents or other AI-enabled services.
 * Experience supporting electric or gas utilities, including working with customer information, account and premise, AMI, meter data management, billing, energy usage, building or property, or regulatory reporting data.

 * Experience with Terraform, Databricks Asset Bundles, Git-based deployment patterns, automated testing, release management, or CI/CD pipelines for Databricks workloads.
 * Experience integrating Databricks with enterprise identity providers, data catalogs, orchestration tools, observability platforms, BI tools, and cloud-native security services.
 * Experience advising stakeholders on enterprise platform operating models, governance processes, cost controls, and production support practices., MySQL
CI/CD
Gmail
DevOps
MLflow
Writing
PySpark
Research
Marketing
Annuities
Leadership
Management
Resilience
Databricks
PostgreSQL
Code Review
Scalability
Wholesaling
Credit Risk
Fundraising
Market Risk
Data Quality
Data Storage
Communication
Data Analysis
Observability
Data Integrity
Risk Analytics
Data Pipelines
Tax Accounting
Risk Management
Test Automation
Data Governance
Data Management
Social Security
Amazon Redshift
Computer Science
Machine Learning
Operational Risk
Data Engineering
Virtual Training
Change Management
Internal Controls
Data Architecture
Unstructured Data
Influencing Skills
Quality Monitoring
Technical Standard
Scalability Design
Workflow Management
Systems Engineering
Amazon Web Services
Technology Solutions
Relational Databases
Cloud-Native Computing
Employment Applications
SQL (Programming Language)
Employee Assistance Programs
Health And Wellness Coaching
Python (Programming Language)
Influencing Without Authority
Systems Development Life Cycle
Software Development Life Cycle
Troubleshooting (Problem Solving)
+0

## Description

Technical Leadership
Design Documentation
Solution Architecture
Business Intelligence
Meter Data Management
Cloud-Native Computing
Artificial Intelligence
Infrastructure Automation
SQL (Programming Language)
Product Family Engineering
Git (Version Control System)
React.js (Javascript Library)
Python (Programming Language)
Ethical Standards And Conduct
Identity And Access Management
Generative Artificial Intelligence
Application Programming Interface (API), Guidehouse is seeking a Databricks Solution Architect to join our AI and Data team to support client projects in the utility industry involving Databricks solution design, platform administration, data governance, and secure Databricks solution implementation. This role focuses on architecting and administering enterprise Databricks environments across workspaces, Unity Catalog, compute, security, automation, and operational standards. The architect will support data modernization initiatives for regulated utilities, including solutions that integrate customer, account, premise, property, meter, and energy-use data across utility and enterprise platforms. The role requires hands-on Databricks platform experience, strong cloud and data architecture fundamentals, and the ability to collaborate with client stakeholders, security teams, data engineers, and delivery teams to build scalable, governed, and production-ready solutions.

What You Will Do:

 * Partner with utility business, IT, data, and regulatory stakeholders to design governed data architectures that integrate customer, account, premise, service-address, meter, property, and energy-usage data across operational systems, enterprise data platforms, APIs, and external reporting platforms.
 * Lead the design and implementation of Databricks solution architectures that support data engineering, analytics, AI/ML, and governed data product delivery.
 * Administer Databricks workspaces, account-level settings, workspace configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects.
 * Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards.
 * Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs.
 * Translate business, technical, security, and governance requirements into Databricks-native architecture patterns, implementation plans, technical architecture and design documentation, and platform standards.
 * Partner with cloud, cybersecurity, identity management, networking, and DevOps teams to support secure platform integration across Azure, AWS, or GCP environments.
 * Develop reusable architecture guidance, reference implementations, deployment patterns, and operational playbooks for Databricks platform teams and delivery teams.
 * Troubleshoot platform issues related to permissions, compute performance, job execution, storage access, networking, workspace configuration, and production operations.
 * Advise clients on platform governance, cost management, auditability, release management, environment strategy, separation of duties, regulatory traceability, and data-quality controls for enterprise Databricks adoption.
 * Support delivery teams through technical leadership, architecture reviews, code and configuration reviews, documentation, and stakeholder communication., CI/CD
Loans
DevOps
MLflow
Billing
Advising
Metadata
Terraform
Pipelines
Consulting
Management
Automation
Governance
Databricks
Warehousing
Scalability
Cataloguing
Genie Lifts
Traceability
Data Quality
Data Science
Unity Engine
Communication
Observability
Data Modeling
Collaboration
Cyber Security
Test Automation
Microsoft Azure
Access Controls
Data Governance
Solution Design
Cost Management
Business Process
Machine Learning
Data Engineering
Data Architecture
Release Management
External Reporting
Energy Consumption
Workflow Management
Amazon Web Services
Technical Leadership
Design Documentation
Solution Architecture
Business Intelligence
Meter Data Management
Cloud-Native Computing
Artificial Intelligence
Infrastructure Automation
SQL (Programming Language)
Product Family Engineering
Git (Version Control System)
React.js (Javascript Library)
Python (Programming Language)
Ethical Standards And Conduct
Identity And Access Management
Generative Artificial Intelligence
Application Programming Interface (API)
+0


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