Job Summary
Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.Job Description
Core Responsibilities
About the Team
Our Business Intelligence organization is structured across PMO, Analytics, Development, and DevOps; operating as a unified, cross-functional team that delivers high-quality, trusted, and scalable data products for Comcast Business. The Solutions Architecture workstream lives in our DevOps team and serves as a strategic connector across the department. In this role, you’ll collaborate daily with our data engineers, analysts, PMO, infrastructure, and production support to ensure our solutions are consistent, resilient, and ready for long-term success.
How We Work
We balance speed with intentional design, operating in a fast-paced, iterative environment grounded in discipline and strong engineering fundamentals. Our culture emphasizes autonomy, thorough documentation, predictable delivery, and a “measure twice, cut once” approach to solution design. We take pride in being a low-ego, high-ownership team where coaching, mentoring, and continuous improvement are embedded in how we operate. We also prioritize sustainable work/life balance
What Makes This Team Special
We are a mature, stable organization with well-defined processes, but we are also a place where innovation thrives. As part of BDI, you’ll have direct visibility with leadership and meaningful influence over our future-state architecture, standards, frameworks, and best practices. You’ll be key in shaping how data flows, how BI works, how platforms scale, and how we maintain trust in the data that powers business decisions across the company.
What We Expect
This role is ideal for someone who:
Brings architectural rigor and a long-term, systems-thinking mindset
Thrives on cross-team coordination and being the connective tissue across engineering, DevOps, and support
Enjoys coaching, guiding, and raising the bar for engineers and analysts
Can simplify complex systems and provide clarity in ambiguous situations
Is comfortable making balanced architectural decisions and saying “no” when needed
Is forward-thinking and passionate about designing for scale, stability, and maintainability
This role does no development/data engineering in the day-to-day responsibilities
If you’re looking for a place where your architectural leadership can have departmentwide impact, and where you can help shape a scalable data ecosystem, this is the role for you.
Solutions Architecture – Team Responsibilities
Solution Architecture Leadership & Accountability
Accountable for consistent end-to-end designs that adhere to Data Warehousing and BDI best practices across all teams and workstreams.
Ensure all architectural designs meet business, functional, technical, privacy, and compliance requirements, including alignment to Comcast Secure Development Lifecycle (SDL).
Ensure designs allow for simple, long-term support from DevOps and Production Support teams.
Responsible for a holistic architectural approach across BDI; recommend optimal design solutions that support long-term maintainability, consistent frameworks, scalability, and alignment to data model and toolset standards.
Design Governance, Reviews & Standards
Lead solution design review meetings, Ensure requirements and architectural documentation is complete.
Conduct solution design and code walkthroughs for ETL pipelines and reporting solutions.
Ensure consistency in execution across teams; code standards, report look-and-feel, common dimensions, and elimination of duplicative efforts.
Ensure all designs follow established Data Warehousing, BDI principles, and architectural patterns.
Establish and support design approaches for database design and self-service BI capabilities.
Ensure connects are scheduled during established meeting blocks with agendas defined in advance to avoid ad-hoc interruptions and respect workload capacity.
Best Practices, Frameworks & Continuous Improvement
Recommend standards, frameworks, and best practices that support long-term maintainability, scalability, evolving business needs, and evolving technologies within Comcast.
Participate in cross-BDI, DevOps, platform, and technology discussions (including TCO) to define and refine best practices.
Ensure recommendations support BDI as a whole and align across Development, Infrastructure, and Production Support teams.
Support the implementation and adoption of recommended best practices and architectural improvements.
Stay up-to-date on new technologies, platforms, and engineering patterns that could benefit BDI’s future-state architecture.
Collaboration & Engagement Model
Facilitate structured working sessions with SMEs and stakeholders
Participate as part of a cross-functional team with representation from Development, Infrastructure, and Production Support.
Support Data Governance and Data Management initiatives, providing architectural insight and ensuring compliance requirements are met.
Skills & Competencies
Technical & Architectural Skills – Must Have
ETL/ELT Pipeline Design & Patterns
Strong design skills for full load, incremental load, and CDC-based ingestion patterns in an OLAP environment.
Experience building meta-data-driven ingestion and transformation frameworks for scale.
Proficiency in SQL/TSQL for pipeline development and optimization.
Experience building resilient data pipelines with proper logging, auditing, and lineage.
OnPrem Data Systems
Experience with SQL Server on-prem and SSIS, Stored Procedures.
BI, Self-Service & Semantic Layer
Designing BI-ready data products for Tableau and OAS including extracts, live connections, semantic models, RLS, and governed datasets.
Expertise in semantic layer modeling and supporting certified datasets for enterprise analytics consumption.
Security, Privacy & Compliance
Ensure designs align to secure coding practices, threat modeling, and enterprise privacy expectations.
DevOps, SDLC/STLC & Deployment Practices
Deep understanding of SDLC and STLC within data engineering and BI workflows.
Experience with Source Control
Ensures deployments are stable, repeatable, and maintain environment consistency across dev/uat/prod.
Performance, Scalability & Reliability
Designs data pipelines and models capable of handling largescale data volumes with performance SLAs.
Ensures architectures support day-to-day operational ease: observability, alerting, runbooks, job dependencies, and troubleshooting workflows.
Incorporates resilience, fault tolerance, and system stability into all designs.
Leadership & Influence Skills
Leads complex, cross-team initiatives and serves as the primary architectural authority for projects.
Establishes and enforces architectural standards, coding frameworks, and best practices used across teams.
Guides teams through largescale migrations (e.g., on-prem SQL/SSIS to cloud/Databricks; BI/semantic refactors).
Integrates business priorities, functional objectives, governance requirements, and platform constraints into holistic solution designs.
Coaches and mentors engineers and developers across the team; builds reusable patterns and architectural guardrails.
Represents department in architecture councils, review boards, workshops, and cross-department forums.
Makes balanced architectural decisions (performance, cost/TCO, security/privacy, supportability, scalability, timelines).
Collaboration, Communication & Behaviors
Strong communicator that produces clear design docs, ADRs, standards, and recommendations consumable by technical and nontechnical stakeholders.
Facilitates structured connects and multistakeholder meetings; documents decisions and actions; respects calendar capacity (non-adhoc).
Systems thinker with a long-term lens: simplicity, predictability, consistency, and sustainability.
Reliability & ownership mindset that ensures solutions meet expectations for stability, supportability, and ease of day-to-day operations.
Technical & Architectural Skills – Preferred but not required additional skills
ETL/ELT Pipeline Design & Patterns
Proficiency in Spark and Python
Cloud, Hybrid & OnPrem Data Systems
Hands-on experience with AWS S3 for storage layer design (partitioning, layout, security, lifecycle policies).
Databricks expertise: Delta Lake, cluster/job optimization
Familiarity with Kubernetes/EKS and Docker for containerized data workloads
Skilled in designing solutions that operate across on-prem + cloud hybrid ecosystems.
BI, Self-Service & Semantic Layer
Designing BI-ready data products for Tableau and OAS including extracts, live connections, semantic models, RLS, and governed datasets.
Expertise in semantic layer modeling and supporting certified datasets for enterprise analytics consumption.
Security, Privacy & Compliance
Strong working knowledge of PII handling, privacy standards, SDL, and secure architecture patterns (encryption, IAM, RLS/CLS).
DevOps, SDLC/STLC & Deployment Practices
Experience with GitHub, PR reviews, branch strategies, and CI/CD pipelines for data platforms.
Performance, Scalability & Reliability
Skilled in Spark, SQL, and Delta optimization techniques to reduce time, cost, and resource utilization.
Primary Tools & Technologies
SQL Server (on-prem); SSIS; AWS S3; EKS; Databricks (Workflows/Jobs); Tableau; Oracle Analytics Server (OAS); GitHub; Python; Spark (PySpark/SQL); PowerShell; SQL/TSQL; Kubernetes; Docker.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Skills
Collaboration, Data Analytics, Data EngineeringCompensation
This job can be performed in Colorado, and Illinois with a Pay Range of $116,475.35 - $192,184.33Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.Certifications (if applicable)
Relevant Work Experience
7-10 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.Want to know if this job is worth applying to?
PA - Philadelphia, 1701 John F Kennedy Blvd, United States of America
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