Salesforce Developer

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

• 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.

• Opportunity to help build a modern enterprise data ecosystem from the ground up.
• High-visibility role supporting a major enterprise transformation initiative.
• Direct exposure to executive leadership and strategic decision-making.
• Ability to influence architecture, tooling decisions, and long-term data strategy.
• Contract-to-hire opportunity with strong long-term growth potential.

Location Requirement: Candidates must be able to work in a hybrid environment and be located near either the San Diego, CA or Dallas, TX office for future conversion consideration. Job Type & Location

This is a Contract to Hire position based out of Dallas, TX. Pay and Benefits

The pay range for this position is $80.00 - $100.00/hr.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.