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Cetera Financial Group

Senior Principal Enterprise Data Platform Architect

Posted Yesterday
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In-Office
Dallas, TX
Senior level
In-Office
Dallas, TX
Senior level
Lead the architecture and delivery of an enterprise data platform with a lakehouse and Snowflake, ensuring data quality, scalability, and governance. Influence executives, define platform standards, and establish data processes while adapting to technology changes.
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This is a senior level technical architect role responsible for defining the target architecture and leading the design and build of an end-to-end enterprise data platform, including a lakehouse on Databricks or AWS native services and a governed data warehouse on Snowflake.

Operating with broad autonomy and enterprise level influence, this role sets platform standards and makes high impact technical decisions across ingestion, lakehouse storage/compute, Snowflake warehousing, transformation, governance, and consumption. Architectural standards and patterns defined by this role serve as the technical foundation that engineering delivery teams build against, ensuring consistency and alignment across the platform. The architect partners closely with functional executives, cross-functional leaders, and select external vendors, while remaining hands-on through architecture reviews, POCs, and critical path build activities.

This position is accountable for solving ambiguous, complex, and high risk platform problems in a greenfield environment where choices around lakehouse patterns, Snowflake modeling, data movement, and governance establish long-term direction and impact multiple processes, functions, and enterprise outcomes.

Responsibilities:
•    Architect and lead delivery of an end-to-end enterprise data platform with a lakehouse (Databricks or AWS native) and a Snowflake data warehouse, including ingestion, transformation, serving, and consumption through BI tools and a governed semantic layer.
•    Design lakehouse patterns (e.g., bronze/silver/gold, Delta/Apache Iceberg where applicable), including data quality controls and master data management (MDM) integration, and define the approach into Snowflake (ELT, CDC, data sharing, and performance-optimized loading).
•    Ensure data products are scalable, trusted, secure, and performant by defining SLAs/SLOs, data quality controls, lineage, and operational monitoring across the lakehouse and warehouse.
•    Influence functional executives and cross‑functional leaders by being the strongest technical voice in the room.
•    Build and validate solutions hands-on through POCs, reference implementations, architecture reviews, and direct contribution to Databricks/AWS pipeline patterns and Snowflake models.
•    Define platform guardrails for security and governance (e.g., encryption, IAM integration, RBAC, PII handling, auditability) across the lakehouse and warehouse.
•    Identify and introduce architectural standards, patterns, and tools that measurably improve platform speed, reliability, cost efficiency, or security — translating architectural decisions into tangible operational and financial outcomes.
•    Drive outcomes that affect enterprise operations, financials, and executive reporting trust.
•    Define platform processes, patterns, and standards for data ingestion/CDC, transformation (ELT), orchestration, CI/CD, testing, and release management.
•    Establish architecture standards and guardrails for Databricks/AWS lakehouse and Snowflake warehouse patterns, including workload separation, cost management, and performance tuning.
•    Operate effectively in ambiguous, fast-moving conditions — challenge established patterns, evaluate emerging tools and approaches (including AI-native capabilities), and adapt platform direction as the technology landscape shifts.
•    Design for AI-native platform capabilities where they improve operational efficiency, including intelligent monitoring, automated anomaly detection, data quality remediation, and stewardship automation — while keeping the core focus on building a reliable, well-governed data platform. 
•    Ensure the semantic layer, catalog, and metadata architecture are designed to support AI-enabled analytics capabilities
•    Lead major platform initiatives and influence work across teams based on expertise.
•    Provide input into technical hiring and capability development.

Qualifications - Required
•    10+ years designing and building enterprise scale data platforms, including lakehouse and data warehouse architectures
•    Deep hands-on experience with Databricks and/or AWS native lakehouse services, and strong working knowledge of Snowflake (architecture, modeling, performance, and security).
•    Strong command of BI ready data modeling (dimensional and/or data vault), semantic layer design/management, and enabling BI tools on top of Snowflake and/or curated lakehouse gold layers.
•    Experience implementing data quality frameworks (rules, monitoring, SLAs) and partnering on master data management (MDM) to deliver trusted, consistent dimensions across domains.
•    Proven track record influencing senior leaders without formal authority
•    Comfortable operating in ambiguity, making decisions that last, and balancing scalability, governance, performance, and cost across the platform.
•    Active, habitual use of AI development tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar) to accelerate personal delivery of POCs, reference implementations, and architectural artifacts.

Qualifications - Preferred
•    Experience with enterprise data catalog and lineage platforms (e.g., DataHub, Atlan, OpenLineage or similar) spanning multi-engine environments.
•    Familiarity with formal data contract frameworks (e.g., ODCS) for codifying producer-consumer agreements.
•    Hands-on experience with MDM platforms (e.g., Profisee or comparable tools).
•    Experience with data security and tokenization tooling (e.g., Protegrity, DataBolt, or similar) for sensitive data handling in regulated environments.
•    Experience designing AI-enabled platform capabilities such as intelligent data quality monitoring, automated anomaly detection, or AI-assisted data stewardship and operations.
•    Background in financial services or other complex regulated industries.

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About Us

About Us

What we give you in return:

Not many teams can say that they support people’s dreams coming to life… We happen to do that every day. And as important as we know your career is, we recognize that there’s a whole lot more to life. To ensure that our Employees can make the most of their time outside of working hours, we offer a competitive salary and for full-time roles, a benefits package including:

  • Inclusive health, dental, vision and life insurance plans built to support diverse lifestyles, offer preventative care, and protect against hardship.
  • Easy access to mental health benefits to meet our team members and their families where they are.
  • 20 plus days of paid time off (PTO), paid holidays, and 2 paid wellness days to give our employees the time they need to stay close with their loved ones, recharge, and give back to their communities.
  • 401(k) Savings plan with a generous company contribution (up to 5%), and access to a financial professional to offer our employees the opportunity to plan-ahead for a strong financial future well beyond their working years.
  • Paid parental leave to support all team members with birth, adoption, and foster.
  • Health Savings and Flexible Spending Account options to help you save money on healthcare, daycare, commuting, and more.
  • Employee Assistance Program (EAP), LifeLock, Pet Insurance and more.

About Cetera Financial Group:

Cetera Financial Group® ("Cetera") is a leading network of independent retail broker-dealers empowering the delivery of objective financial advice to individuals, families and company retirement plans across the country through trusted financial advisors and financial institutions. Cetera is one of the largest independent financial advisor networks in the nation by number of advisors, as well as a leading provider of retail services to the investment programs of banks and credit unions.

Through its multiple distinct firms, Cetera offers independent and institutions-based advisors the benefits of a large, established broker-dealer and registered investment adviser, while serving advisors and institutions in a way that is customized to their needs and aspirations. Advisor support resources offered through Cetera include award-winning wealth management and advisory platforms, comprehensive broker-dealer and registered investment adviser services, practice management support, and innovative technology.

"Cetera Financial Group" refers to the network of independent retail firms encompassing, among others, Cetera Advisors LLC, Cetera Wealth Services LLC (f/k/a Cetera Advisor Networks), Cetera Investment Services LLC (marketed as Cetera Financial Institutions, or Cetera Investors. All firms are members FINRA/SIPC.

Cetera Financial Group is committed to providing an equal employment opportunity for all applicants and employees. For us, this is the only acceptable way to do business. Accordingly, all employment decisions at Cetera Financial Group, including those relating to hiring, promotion, transfers, benefits, compensation, and placement, will be made without regard to race, color, ancestry, national origin, citizenship, age, physical and/or mental disability, medical condition, pregnancy, genetic characteristics, religion, religious dress and/or grooming, gender, gender identity, gender expression, sexual orientation, marital status, U.S. military status, political affiliation, or any other class protected by state and/or federal law.

Agencies please note: this recruitment assignment is being managed directly by Cetera’s Talent Acquisition team. We will reach out to our preferred agency partners in the rare instance we require additional talent options. Your respect for this process is appreciated.

Please review our Workforce Privacy Policy for further details on what information we collect and the purposes for collection.

Top Skills

AWS
Databricks
Snowflake

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