Big Data Technical Architect

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Job Category

Sales

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all.

Ready to levelup your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

At Salesforce, we start with whatifs and end with howtos.

Salesforce pioneered the concept of softwareasaservice back in 1999. Throughout our history, we have created cloudbased preintegrated suites of capabilities that streamline the rollout of our technologies to deliver real business results fast. We have been doing this successfully for over 25 years.

Do you have realworld big data experience and wonder what else you could be doing with your career? We are seeking to hire a big data technical architect for our Global Public Sector, Education, and NonGovernmental Organizations Solutions team.

Where this role will take you

This role isnt just about data; its about transforming raw information into powerful business solutions. Youll be at the forefront of innovation, leveraging Salesforce’s business intelligence, marketing, and cuttingedge predictive and generative AI to deliver tangible results for customers. You’ll be face to face with our customers’ chief technology officers, chief data officers, data architects, integration architects and data analysts solving real world big data problems in our global Public Sector, Education, and NonGovernmental Organizations.

You’ll be working alongside solution engineers using Salesforce’s AIdriven business intelligence to show customers how to ask their data questions. Youll not only define technical architectures but also shape the very vision of data for our clients, creating exciting, realworld business scenarios.

You’ll also be using your big data skills to create AI agents that interact with humans in real time chats and AIgenerated messaging. These agents seamlessly navigate across disparate data sources to solve the swivelchair problems of humans working across multiple applications.

If youre passionate about pushing the boundaries of technology and empowering businesses with intelligent solutions, this is the opportunity youve been waiting for.

Job Description

The big data Technical Architect is a presales customerfacing enterprise data domain advisor applying broad technical skills, with deep industry knowledge and business acumen.

In this role, you will support sales teams in developing compelling Salesforce value propositions that align to our public sector, education, and nongovernmental organization customers’ big data strategies and ambitions. While this area includes traditional Business Intelligence applications, it expands upon that to include outbound communications (Marketing Cloud), Customer Service, and Artificial Intelligence applications as well.

What are the characteristics that will make you successful in this role?

• Inquisitive You are naturally inquisitive, a constant selflearner and have a high aptitude for gathering information and asking good questions about your customers. You have a keen interest in handson experimentation with applying the latest capabilities such as Artificial Intelligence to solve customer challenges.

• Collaborative You work well with other internal and external stakeholders on challenges, you understand their objectives, and you surface capabilities that address their objectives. You learn and draw from other team members experience when needed, and offer your own experience to others whenever you can.

• Trustworthy and Authentic You listen and respond transparently, building trust and becoming a valued advisor to our internal teams and our customers

• Accountable You focus on journeys and outcomes. You break down transformational journeys into logical and achievable steps, and focus on accomplishing the next step.

• Resilient You respond to setbacks in the moment, and use your experiences to anticipate potential setbacks on the horizon.

• You have subject matter experience in categories that may include data strategy, data lake architectures, data ingestion, data transformation, API integration, cloud computing, distributed platforms, mobile platforms, and business intelligenceanalytics. With a solid blend of technical and customerfacing skills you use a consultative approach to understand business and technical requirements.

  Key Qualifications and Skills

  • Data lake storage, which may include technologies such as Databricks, Snowflake, Azure Data Lake, Google Cloud Storage, AWS S3 AWS Lake formation

  • Data ingestion concepts like batch ingestion, real time streaming ingestion, eventdrive ingestion, and change data capture ingestion

  • Data Mapping and Transformation concepts and handson experience using data mapping capabilities that include ETL tools like Informatica or integration technologies such as Mulesoft

  • Canonical Data Models (CDMs) concepts and purposes of CDMs, benefits of industry standard CDMs like FHIR

  • Putting data to work by determining the data requirements needed to drive business use cases from a catalog of data

  • Making data actionable using APIdriven integrations

  • Preferred Qualifications and Skills

    • Hands on knowledge and experience working with Salesforce Data Cloud, Data Cloud Connectors, and configuring data merging, mapping, and transformations using Data Cloud tools

    • Experience using Informatica for data extraction, transformation and loading (ETL)

    • Experience working with Salesforce Marketing Cloud using Data Cloud or Salesforce Customer Data Platform (CDP)

    • Experience using Mulesoft as a data migration tool, to create actionable APIs, and emerging knowledge of Mulesofts Model Context Protocol (MCP) capabilities as a driver for AI agent interaction

    • Knowledge and experience with any of the Salesforce Industry Clouds such as Health Cloud, Financial Services Cloud, Education Cloud or Public Sector Solutions

    • Knowledge of working with and integrating existing data lake technologies like Databricks, Snowflake, Azure Data Lake, etc and how these technologies can work alongside Data Cloud

    • What you will be doing

      • Team with account executives and solution engineers to advance opportunities through discovery workshops, enablement sessions, and architecture presentations

      • Begin with the end business goals in mind, and work backwards to identify the supporting data sources, data aggregations, and calculated insights required to support the business goals

      • Define customerdriven architectures by selecting appropriate Salesforce technologies, leveraging product expertise, industry experience, data frameworks, and Salesforce methodologies. Develop and communicate data architecture (vision, capability modelsassessments) and technical architecture (currentfuture state diagrams, roadmaps, design patterns, and reference architectures) to progress sales opportunities

      • Work with Solution Engineers to create AI agents that take customers’ existing portfolio of data siloes and applications and create Salesforce agents that navigate across traditional data silos to accomplish real businessdriven scenarios

      • Develop predictive models using Einstein Studio on top of Data Cloud

      • Unleash Your Potential

        When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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        Salesforce is an equal opportunity employer and maintains a policy of nondiscrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

        In the United States, compensation offered will be determined by factors such as location, job level, jobrelated knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https:www.salesforcebenefits.com.

        For Washington D.C based roles, the base salary hiring range for this position is $185,220 to $247,730.

        For Maryland based roles, the base salary hiring range for this position is $185,220 to $247,730.