Principal Data & Solutions Architect

We are seeking an experienced

Principal Data \& Solutions Architect

to lead the architecture and modernization of the

Revenue Data Management Platform (RDMP)

within the Data \& Intelligence organization.

The ideal candidate will have deep expertise in

Solution Architecture, Data Architecture, Azure Platform, Azure DevOps, Pipeline Design, Cloud Computing, Data Processing, Apache Spark, Databricks, and Enterprise Data Platforms

.

This role will serve as the primary technical architecture owner responsible for designing and implementing a governed

Databricks Lakehouse Platform

supporting enterprise

Revenue Data, Finance Data Intelligence, Reporting, Reconciliation, and Analytics

initiatives.

The Principal Architect will partner with

Revenue, Finance, FP\&A, Data \& Intelligence teams, and business stakeholders

to modernize legacy workflows, establish secure and compliant data infrastructure, enable advanced analytics, and deliver scalable enterprise data products.

Key Responsibilities

Platform Architecture

• Design and own end-to-end

Revenue Data Platform architecture

using

Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows

.

• Define and implement

Medallion Architecture (Bronze, Silver, Gold layers)

for enterprise data products.

• Drive architecture decisions across

data platforms, cloud infrastructure, integration patterns, and reporting solutions

.

Data Platform Modernization

• Lead migration of legacy workflows including

Alteryx, spreadsheets, and traditional ETL processes

into modern cloud-based data platforms.

• Design scalable

data pipelines, transformation frameworks, and automation solutions

.

• Convert complex finance and revenue transformation logic into governed, testable, version-controlled data models.

Data Engineering \& Processing

• Design and implement data ingestion pipelines using

Azure Data Factory (ADF)

.

• Develop scalable data processing solutions using

Apache Spark, Python, SQL, and Databricks

.

• Build and optimize enterprise data models supporting

billing revenue, usage revenue, deferred revenue, reconciliation, and reporting

.

• Define data quality frameworks, testing strategies, data contracts, and governance processes.

Cloud \& DevOps Architecture

• Design and implement solutions leveraging

Azure Cloud Platform

.

• Develop and manage CI/CD workflows using

Azure DevOps

.

• Define

pipeline design, deployment automation, release processes, and infrastructure governance

.

• Ensure secure, scalable, and highly available cloud data solutions.

Security, Governance \& Compliance

• Architect

SOX-compliant and audit-ready data platforms

.

• Implement access controls, security policies, data lineage, and governance frameworks.

• Establish

row-level security, column-level security, segregation of duties, and traceability

across data assets.

Reporting \& Analytics Enablement

• Architect governed semantic layers supporting

Power BI and Tableau reporting platforms

.

• Enable trusted reporting datasets for

Finance, FP\&A, reconciliation, and executive dashboards

.

• Ensure reporting solutions are certified, governed, and compliant.

AI/ML Enablement

• Enable AI and ML capabilities using

Databricks MLflow, AutoML, and advanced analytics solutions

.

• Support predictive analytics, anomaly detection, and intelligent revenue insights.

Stakeholder Management \& Leadership

• Translate business requirements into enterprise architecture solutions.

• Lead architecture reviews, design discussions, and technical presentations.

• Mentor engineering teams on

Databricks, Azure, Spark, Data Engineering, and architecture best practices

.

• Establish architecture standards, reusable frameworks, and technology best practices.

Required Skills

•

12\+ years of experience

in

Data Architecture, Solution Architecture, Enterprise Architecture, or Data Engineering

.

• Strong hands-on experience with

Databricks, Delta Lake, Unity Catalog, Databricks Workflows, SQL, and Python

.

• Extensive experience designing

enterprise data platforms and cloud-based solutions

.

• Strong knowledge of

Azure Platform, Azure Data Factory (ADF), Azure DevOps, and Entra ID

.

• Strong expertise in

Solution Architecture, Architecture Design, Pipeline Design, and Cloud Computing

.

• Hands-on experience with

Apache Spark and large-scale data processing

.

• Experience building and optimizing

data pipelines and ETL/ELT frameworks

.

• Strong SQL and Python programming skills for data transformation and engineering.

• Experience with

dbt, data modeling, testing frameworks, and CI/CD integration

.

• Experience designing

SOX-compliant, secure, governed, and audit-ready data platforms

.

• Experience modernizing legacy data tools such as

Alteryx, SSIS, Informatica, and spreadsheet-based processes

.

• Strong communication skills with technical teams, business stakeholders, and executive leadership.

Preferred Skills

• Experience in

Revenue Data Management, Billing Systems, Revenue Recognition, Deferred Revenue, and Financial Reporting

.

• Databricks certifications such as

Databricks Data Engineer or Spark Developer Certification

.

• Experience with

MLflow, AutoML, and AI/ML analytics use cases

.

• Experience designing

Power BI/Tableau semantic layers and governed reporting datasets

.

• Experience implementing

CI/CD pipelines using Azure DevOps or GitLab

.

• Experience with enterprise

data governance, security, and compliance frameworks

.

• Exposure to natural language analytics tools such as

Databricks Genie

.

Mandatory Requirements

Primary Skills:

Solution Architecture, Azure DevOps, Pipeline Design, Azure Platform, Cloud Computing, Data Processing, Apache Spark, Databricks, Delta Lake, Unity Catalog, Python, SQL

Architecture \& Technical Responsibilities

• Define architecture for large-scale enterprise engagements involving multiple technologies and platforms.

• Act as the

design authority

ensuring technical quality and adherence to architecture standards.

• Develop reusable architecture patterns, frameworks, and technology solutions.

• Provide technical guidance during solution design, implementation, and delivery phases.

• Conduct architecture reviews, technical audits, and design governance activities.

• Define and validate non-functional requirements including scalability, security, performance, and reliability.

• Review solution designs and ensure compliance with enterprise architecture principles.

• Identify optimization opportunities through reusable assets and modern engineering practices.

• Support technical consulting activities, roadmap creation, and transformation initiatives.

• Provide mentorship and guidance to architects and engineering teams.

Key Performance Areas

• Architecture quality and governance compliance.

• Number of successful enterprise solution implementations.

• Reusable architecture patterns and assets created.

• Technical complexity handled across projects.

• Successful technology consulting engagements.

• Training, mentoring, and capability development.

• Technical certifications and knowledge contributions.

• Quality reviews, audits, and stakeholder satisfaction.

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across

digital, engineering, marketing, analytics, finance, operations, and business transformation domains

.

With a strong emphasis on

innovation, scalability, and client success

, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across

strategy, technology, creative, and operational functions

.

BrickRed Systems fosters a culture of

continuous learning, collaboration, and excellence

, enabling professionals to contribute to high-impact global initiatives while advancing their careers.