Pre-Sales Data and AI Architect - Solution Engineering (United States)

Salesforce, Inc.; Florida; In loco; USD 162.960 - 255.150; Tempo pieno

Descrizione del lavoro

Salesforce is seeking a senior Data & AI Technical Architect to design, validate, and operationalize enterprise‑grade data and AI architectures centered on D360 and the Agentforce platform. You will collaborate with customer architects, data engineers, and platform owners to deliver scalable, secure solutions that integrate D360 into complex ecosystems.

Your impact includes owning the full lifecycle from discovery to validation, designing end‑to‑end architectures with Snowflake, Databricks, and

Competenze

• 7+ years designing and delivering data, analytics, and AI architectures in enterprise environments.
• Background in data engineering, platform or technical architecture roles (pre-/post-sales).
• BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred).
• Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes.
• Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns.

Mansioni

• Own full technical lifecycle, from discovery and design to validation across engagements.
• Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems.
• Own technical architecture decisions: data modeling, identity resolution, real-time vs. batch patterns.
• Partner with Account Executives to shape technical close strategy grounded in architectural feasibility and data realities.
• Execute hands-on validation (POCs, architecture walkthroughs, reference implementations) to accelerate D360 adoption.
• Define repeatable industry-specific reference architectures built on D360 that scale across accounts.
• Collaborate with Salesforce Product & Engineering teams to influence roadmaps and validate patterns against D360 capabilities.
• Act as a technical authority during escalations, architecture reviews, and executive design discussions.
• Produce high-fidelity technical assets (architecture diagrams, demos, governance models) for field teams and customers.
• Serve as trusted technical advisor to customer Chief Data Officers and Enterprise Architects.
• Ensure D360 architectures align to security, privacy, compliance, and trust requirements.

Conoscenze

Python/R

Pandas/DataFrames

Jupyter

Snowflake

Databricks

BigQuery

Redshift

Data modeling

Identity resolution

Data governance

D360 activation

Salesforce Platform

Formazione

B.S./B.A. in CS/Engineering/Data Science

Advanced degree preferred

Strumenti

Tableau

Looker

Power BI

Descrizione del lavoro

The Data & AI Technical Architect is a senior, hands‑on technical architect responsible for designing, validating, and operationalizing enterprise‑grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, working with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems—including hyperscalers, data lakes, real‑time pipelines, identity systems, and governance frameworks.

Your Impact

• Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in‑person and virtual engagements.
• Design and validate end‑to‑end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems).
• Own technical architecture decisions, including data modeling, identity resolution, real‑time vs. batch patterns, data graph design, and activation strategies within D360.
• Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities.
• Execute hands‑on technical validation (POCs, architectural walkthroughs, reference implementations) to de‑risk complex deals and accelerate D360 adoption.
• Define repeatable industry‑specific reference architectures built on D360 that scale across accounts and drive consistent outcomes.
• Collaborate deeply with Salesforce Product & Engineering teams to
  • Influence roadmap through high‑signal Voice of the Customer feedback
  • Validate architectural patterns against upcoming D360 capabilities
• Act as a technical authority during escalations, architecture reviews, and executive‑level design discussions.
• Produce high‑fidelity technical assets (architecture diagrams, demos, governance models, activation patterns) used by field teams, partners, and customers.
• Serve as a trusted technical advisor to customer Chief Data Officers, Enterprise Architects, and Platform Owners.
• Ensure D360 architectures align to security, privacy, compliance, and trust requirements—especially in regulated industries.
• Represent Salesforce’s technical point of view for modern data and AI architectures, with D360 as the system of activation, at customer briefings and technical forums.

Qualifications

• 7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
• Strong background in data engineering, platform architecture, or technical architecture roles (pre‑sales or post‑sales).
• BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred).
• Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes.
• Deep expertise in
  • Modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
  • Data ingestion patterns (batch, streaming, CDC)
  • Identity resolution, data modeling, and graph‑based relationships
• Hands‑on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter).
• Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services.
• Experience guiding architectural conversations with senior technical stakeholders and influencing platform and data strategy decisions.
• Ability to translate complex technical concepts into clear architectural guidance for both technical and executive audiences.
• Experience operating in large, matrixed organizations with complex stakeholder environments.

Technical Skill Set

Data Architecture

• Cloud data platforms: Snowflake, Databricks, BigQuery, Redshift
• Data modeling, identity resolution, entity relationships, D360 data graph design
• Batch, real‑time, and hybrid ingestion patterns into D360
• Data quality, lineage, governance, and trust frameworks

AI & Analytics

• Python/R, Jupyter, data wrangling, feature preparation
• Applied machine learning concepts and AI‑readiness architecture on top of D360
• Analytics and BI tools: Tableau, Looker, Power BI

Salesforce Platform

• Deep hands‑on knowledge of Salesforce architecture
• Salesforce Admin / Advanced Admin‑level proficiency
• Experience designing scalable, secure solutions using D360 as the activation layer across Salesforce Clouds

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Employees or potential employees are 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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. In the United States, compensation offered will be determined by factors such as location, job level, job‑related 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. For more information, see the Salesforce Benefits website.

The typical base salary range for this position is $148,190 – $231,980 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $162,960 – $255,150 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.