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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Developer - **Company:** CareerCircle - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $208,000.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Data Structures, Data Systems, Data Warehousing, Machine Learning, Meta-Data Management, Reference Data, Cloud Services, SQL Databases, Enterprise Data Management, Sql Optimization, Snowflake, Microsoft Fabric, Data Lakes, Data Lineage, Real Time Data, Data Management, Data Pipelines, Databricks - **Published:** August 25, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/dallas/2051018c-1b8b-4fbe-89d4-cebbb7c90772 ## About the Role * 8+ years of experience in Data Management, Data Engineering, Analytics, or related fields. * 3+ years of experience in a Data Architect or Enterprise Data Architecture role. * Strong expertise in data modeling methodologies: + Conceptual + Logical + Physical + Dimensional + Semantic * Experience with Master Data Management (MDM) programs. * Strong understanding of: + Data Governance + Data Quality Frameworks + Metadata Management + Data Lineage * Advanced SQL experience. * Experience designing enterprise-scale cloud data platforms. * Ability to translate business requirements into data architecture solutions., * Financial Services, Wealth Management, or Broker-Dealer industry experience., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Equities Operations Leadership Governance Data Lakes Warehousing Scalability Data Quality Observability Data Modeling Real Time Data Data Structures Data Governance Data Management Machine Learning Data Engineering Inventory Staging Data Architecture Wealth Management Influencing Skills Advanced Analytics Business Valuation Financial Services Business Objectives Metadata Management Data Transformation Conversion Marketing Data Reference Model Business Requirements Emerging Technologies Full Stack Development Master Data Management Artificial Intelligence Business Transformation Architectural Leadership SQL (Programming Language) Snowflake (Data Warehouse) Influencing Without Authority Key Performance Indicators (KPIs), A Leading Broker Dealer client is seeking an experienced MDM Data Architect to support a large-scale enterprise data transformation initiative within a leading financial services organization. This individual will play a key role in designing and evolving the enterprise data ecosystem, with a strong focus on Master Data Management (MDM), data modeling, data governance, and data quality. This position will partner closely with business stakeholders, data engineers, analytics teams, and architecture leadership to build scalable data solutions that support analytics, reporting, AI initiatives, and operational business needs., Data Architecture & Strategy * Define and maintain enterprise data architecture standards, principles, and roadmaps. * Align data architecture with business objectives and strategic transformation initiatives. * Evaluate emerging technologies and recommend improvements to the data ecosystem. * Design scalable, reusable, and sustainable data solutions. Data Modeling * Create conceptual, logical, physical, dimensional, and semantic data models. * Develop scalable data structures across operational and analytical environments. * Define master data, reference data, and metadata management strategies. * Ensure consistency across key business domains. Master Data Management (MDM) * Support enterprise MDM strategy and architecture. * Define golden records, matching and merging logic, survivorship rules, and governance processes. * Partner with business stakeholders to establish stewardship and ownership models. * Support implementation and governance of MDM platforms. Data Quality & Governance * Develop enterprise data quality frameworks and standards. * Establish data quality KPIs, monitoring, scorecards, and observability processes. * Define standards for lineage, metadata management, cataloging, and stewardship. * Collaborate with compliance and security teams to meet regulatory requirements. Cloud & Data Platform Architecture * Design and govern modern cloud-based data platforms. * Architect data lakes, lakehouses, warehouses, and real-time data solutions. * Establish ingestion, transformation, storage, and consumption patterns. * Ensure solutions meet performance, scalability, reliability, and cost objectives., + Snowflake + Databricks + Erwin + Informatica + Semarchy + Other MDM platforms * Knowledge of: + Data Mesh + Data Fabric + Lakehouse Architecture + Medallion Architecture (Raw, Staging, Normalized Layers) * Experience supporting AI, machine learning, and advanced analytics initiatives., Equities Operations Leadership Governance Data Lakes Warehousing Scalability Data Quality Observability Data Modeling Real Time Data Data Structures Data Governance Data Management Machine Learning Data Engineering Inventory Staging Data Architecture Wealth Management Influencing Skills Advanced Analytics Business Valuation Financial Services Business Objectives Metadata Management Data Transformation Conversion Marketing Data Reference Model Business Requirements Emerging Technologies Full Stack Development Master Data Management Artificial Intelligence Business Transformation Architectural Leadership SQL (Programming Language) Snowflake (Data Warehouse) Influencing Without Authority Key Performance Indicators (KPIs) +0 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [How Much Does a Software Engineer Make? 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