Salesforce Developer

CareerCircle
Charlotte, NC, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$145,600.0 - $208,000.0
Working hours
Regular working hours

Tech stack

Data Analysis Automation of Tests Information Systems Continuous Integration Customer Data Management Data Architecture Information Engineering Data Infrastructure Data Warehousing Power BI Salesforce.Com SQL Databases
+11 more
Enterprise Data Management Digital Twin Enterprise Software Applications Snowflake Git Event Driven Architecture Information Technology Data Lineage Real Time Data Data Pipelines User Identification

Job description

Power BI Marketing Dashboard Analytics Operations Leadership Statistics Forecasting Data Science Digital Twin Data Lineage Data Pipelines Test Automation Decision Making Customer Service Computer Science Data Engineering Data Architecture Business Valuation Information Systems Marketing Analytics Salesforce Datorama Business Intelligence Full Stack Development Marketing Mix Modeling Business Transformation Self Service Technologies Event Driven Architecture SQL (Programming Language) Snowflake (Data Warehouse) Customer Data Platform (CDP) Healthcare Industry Knowledge Enterprise Application Software Marketing Performance Measurement And Management, The Director of Marketing Analytics Engineering & Data Products will serve as the primary owner of marketing-focused analytical data architecture and will act as the key bridge between Marketing Analytics, Customer Experience, Insights, Data Science and the centralized Enterprise Data organization.

Unlike a traditional data engineering leadership role, this position focuses on creating trusted, reusable, governed analytical data products and ensuring marketing teams have the data foundation required to support decision making, forecasting, marketing measurement, journey orchestration, customer experience analytics and executive reporting.

The successful candidate will help define:

  • What marketing and experience data should reside in Snowflake.

  • How data should flow between marketing platforms and enterprise systems.

  • What data products are needed across analytics teams.

  • How data pipelines should be structured.

  • How scorecards, dashboards and models should consume data.

  • How future customer journey orchestration capabilities will be supported.

This individual will partner heavily with Enterprise Data, who owns Snowflake, while representing the needs of Marketing, Experience and Analytics teams.

Initially this role is highly hands-on and individual contributor oriented, with potential to build and lead an Analytics Engineering team over time as organizational needs evolve., Power BI Marketing Dashboard Analytics Operations Leadership Statistics Forecasting Data Science Digital Twin Data Lineage Data Pipelines Test Automation Decision Making Customer Service Computer Science Data Engineering Data Architecture Business Valuation Information Systems Marketing Analytics Salesforce Datorama Business Intelligence Full Stack Development Marketing Mix Modeling Business Transformation Self Service Technologies Event Driven Architecture SQL (Programming Language) Snowflake (Data Warehouse) Customer Data Platform (CDP) Healthcare Industry Knowledge Enterprise Application Software Marketing Performance Measurement And Management +0

Requirements

snowflake, data architecture, Marketing analytics, sql, marketing mix model, power bi, data pipeline, stakeholder management

Top Skills Details

snowflake,data architecture,Marketing analytics,sql,marketing mix model,power bi,data pipeline,stakeholder management

Additional Skills & Qualifications

Experience with dbt or similar analytics engineering and transformation frameworks.

Power BI expertise and self-service analytics enablement.

Salesforce Marketing Cloud Intelligence (Datorama) experience.

Customer journey analytics and journey orchestration experience.

Voice of Customer (VOC) analytics and customer experience measurement.

Identity resolution and customer data platform experience.

Real-time data pipeline and event-driven architecture experience.

Git, CI/CD, automated testing, documentation, and data lineage tools.

Experience supporting experimentation platforms, synthetic data, or digital twins initiatives.

Advanced degree in Computer Science, Data Engineering, Data Science, Analytics, Statistics, Information Systems, or related field., 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.

About the company

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.

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