Senior Technical Architect- Data cloud( Salesforce Exp Mandatory)
Salesforce
Senior Technical Architect- Data cloud( Salesforce Exp Mandatory)
Job Description
Description The 'SF Data Cloud Architect' plays a critical role within Salesforce’s Professional Services team, assisting in pre-sales and leading the design and implementation of enterprise-grade Data Management solutions. This position is responsible for architecting scalable solutions across enterprise landscapes using Data Cloud, ensuring data is ready for enterprise AI, applying data governance guardrails as well as supporting enterprise analytics and automation. This role covers ANZ, ASEAN and India markets.The ideal candidate brings deep expertise in data architecture, project lifecycle and Salesforce ecosystem knowledge. Combined with strong soft skills, stakeholder engagement and technical writing ability. You will collaborate with cross-functional teams to shape the future of customer's data ecosystem and enable data excellence at scaleKey Responsibilities* Salesforce Data Cloud Trusted Advisor: Be a trusted SME for Data Cloud to support and lead project delivery and customer engagements during pre-sales cycle. Including how Data Cloud relates to the success of AI* Architecture Support: Provide Data and System Architecture guidance to Salesforce Account teams and Customers by reviewing proposed architecture. Also peer review project effort estimates, scope and delivery considerations* Project Delivery: Work on cross-cloud project delivery and lead the data and analytics stream, spear-heading Data Cloud Design & Delivery. Ability to work collaboratively with cross-functional teams from Developer to Executive* Data Architecture: Design and guide customer's enterprise data architecture aligned to business goals. Highlight the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy* Data Cloud Enablement: Lead Data Cloud architecture enablement for key domains and cross cloud teams* Analytics Support: Collaborate with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives* Stakeholder Engagement: Work cross-functionally across multiple Salesforce teams and projects to deliver aligned and trusted data solutions. Facilitate and influence Executive Customer stakeholders while aligning technology strategy to business value and ROI. Build strong relationships with both internal and external teams, contributing to broader goals and growth* Documentation: Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelinesTechnical Skills* 15+ years in data architecture or consulting, with solution design and project delivery experience* Deep knowledge in MDM, Data Distribution and Data Modelling concepts* Expertise in data modelling with strong understanding of metadata and lineage* Experience in executing data strategies, landscape architecture assessments and proof-of-concepts* Excellent communication, stakeholder management and presentation skills* Strong technical writing and documentation ability* Basic understanding of Hadoop spark fundamentals is an advantage* Understanding of Data Platforms (example: Snowflake, DataBricks, AWS, GCP, MS Azure)* Experience with tools such as Salesforce Data Cloud, or similar enterprise Data platforms - Hands on deep Data Cloud experience is a strong plus* Working knowledge of enterprise data warehouse, data lake and data hub concepts* Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positiveExpected Qualification * Salesforce Certified Data Cloud Consultant - Highly Preferred* Salesforce Data Architect - Preferred* Salesforce Application Architect - Preferred* AWS Spark/ DL, Az DataBricks, Fabric, Google Cloud, Sno
Locations
- Bangalore, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
4,500,000 - 7,500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 15+ years in data architecture or consulting, with solution design and project delivery experienceintermediate
- Deep knowledge in MDM, Data Distribution and Data Modelling conceptsintermediate
- Expertise in data modelling with strong understanding of metadata and lineageintermediate
- Experience in executing data strategies, landscape architecture assessments and proof-of-conceptsintermediate
- Excellent communication, stakeholder management and presentation skillsintermediate
- Strong technical writing and documentation abilityintermediate
- Basic understanding of Hadoop spark fundamentals is an advantageintermediate
- Understanding of Data Platforms (example: Snowflake, DataBricks, AWS, GCP, MS Azure)intermediate
- Experience with tools such as Salesforce Data Cloud, or similar enterprise Data platforms - Hands on deep Data Cloud experience is a strong plusintermediate
- Working knowledge of enterprise data warehouse, data lake and data hub conceptsintermediate
- Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positiveintermediate
Required Qualifications
- 15+ years in data architecture or consulting, with solution design and project delivery experience (experience, 15 years)
- Deep knowledge in MDM, Data Distribution and Data Modelling concepts (experience)
- Expertise in data modelling with strong understanding of metadata and lineage (experience)
- Experience in executing data strategies, landscape architecture assessments and proof-of-concepts (experience)
- Excellent communication, stakeholder management and presentation skills (experience)
- Strong technical writing and documentation ability (experience)
- Working knowledge of enterprise data warehouse, data lake and data hub concepts (experience)
- Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positive (experience)
Preferred Qualifications
- Salesforce Certified Data Cloud Consultant - Highly Preferred (certification)
- Salesforce Data Architect - Preferred (experience)
- Salesforce Application Architect - Preferred (experience)
- Basic understanding of Hadoop spark fundamentals is an advantage (experience)
- Hands on deep Data Cloud experience is a strong plus (experience)
Responsibilities
- Salesforce Data Cloud Trusted Advisor: Be a trusted SME for Data Cloud to support and lead project delivery and customer engagements during pre-sales cycle. Including how Data Cloud relates to the success of AI
- Architecture Support: Provide Data and System Architecture guidance to Salesforce Account teams and Customers by reviewing proposed architecture. Also peer review project effort estimates, scope and delivery considerations
- Project Delivery: Work on cross-cloud project delivery and lead the data and analytics stream, spear-heading Data Cloud Design & Delivery. Ability to work collaboratively with cross-functional teams from Developer to Executive
- Data Architecture: Design and guide customer's enterprise data architecture aligned to business goals. Highlight the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy
- Data Cloud Enablement: Lead Data Cloud architecture enablement for key domains and cross cloud teams
- Analytics Support: Collaborate with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives
- Stakeholder Engagement: Work cross-functionally across multiple Salesforce teams and projects to deliver aligned and trusted data solutions. Facilitate and influence Executive Customer stakeholders while aligning technology strategy to business value and ROI. Build strong relationships with both internal and external teams, contributing to broader goals and growth
- Documentation: Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelines
Tags & Categories
Senior Technical Architect- Data cloud( Salesforce Exp Mandatory)
Salesforce
Senior Technical Architect- Data cloud( Salesforce Exp Mandatory)
Job Description
Description The 'SF Data Cloud Architect' plays a critical role within Salesforce’s Professional Services team, assisting in pre-sales and leading the design and implementation of enterprise-grade Data Management solutions. This position is responsible for architecting scalable solutions across enterprise landscapes using Data Cloud, ensuring data is ready for enterprise AI, applying data governance guardrails as well as supporting enterprise analytics and automation. This role covers ANZ, ASEAN and India markets.The ideal candidate brings deep expertise in data architecture, project lifecycle and Salesforce ecosystem knowledge. Combined with strong soft skills, stakeholder engagement and technical writing ability. You will collaborate with cross-functional teams to shape the future of customer's data ecosystem and enable data excellence at scaleKey Responsibilities* Salesforce Data Cloud Trusted Advisor: Be a trusted SME for Data Cloud to support and lead project delivery and customer engagements during pre-sales cycle. Including how Data Cloud relates to the success of AI* Architecture Support: Provide Data and System Architecture guidance to Salesforce Account teams and Customers by reviewing proposed architecture. Also peer review project effort estimates, scope and delivery considerations* Project Delivery: Work on cross-cloud project delivery and lead the data and analytics stream, spear-heading Data Cloud Design & Delivery. Ability to work collaboratively with cross-functional teams from Developer to Executive* Data Architecture: Design and guide customer's enterprise data architecture aligned to business goals. Highlight the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy* Data Cloud Enablement: Lead Data Cloud architecture enablement for key domains and cross cloud teams* Analytics Support: Collaborate with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives* Stakeholder Engagement: Work cross-functionally across multiple Salesforce teams and projects to deliver aligned and trusted data solutions. Facilitate and influence Executive Customer stakeholders while aligning technology strategy to business value and ROI. Build strong relationships with both internal and external teams, contributing to broader goals and growth* Documentation: Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelinesTechnical Skills* 15+ years in data architecture or consulting, with solution design and project delivery experience* Deep knowledge in MDM, Data Distribution and Data Modelling concepts* Expertise in data modelling with strong understanding of metadata and lineage* Experience in executing data strategies, landscape architecture assessments and proof-of-concepts* Excellent communication, stakeholder management and presentation skills* Strong technical writing and documentation ability* Basic understanding of Hadoop spark fundamentals is an advantage* Understanding of Data Platforms (example: Snowflake, DataBricks, AWS, GCP, MS Azure)* Experience with tools such as Salesforce Data Cloud, or similar enterprise Data platforms - Hands on deep Data Cloud experience is a strong plus* Working knowledge of enterprise data warehouse, data lake and data hub concepts* Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positiveExpected Qualification * Salesforce Certified Data Cloud Consultant - Highly Preferred* Salesforce Data Architect - Preferred* Salesforce Application Architect - Preferred* AWS Spark/ DL, Az DataBricks, Fabric, Google Cloud, Sno
Locations
- Bangalore, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
4,500,000 - 7,500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 15+ years in data architecture or consulting, with solution design and project delivery experienceintermediate
- Deep knowledge in MDM, Data Distribution and Data Modelling conceptsintermediate
- Expertise in data modelling with strong understanding of metadata and lineageintermediate
- Experience in executing data strategies, landscape architecture assessments and proof-of-conceptsintermediate
- Excellent communication, stakeholder management and presentation skillsintermediate
- Strong technical writing and documentation abilityintermediate
- Basic understanding of Hadoop spark fundamentals is an advantageintermediate
- Understanding of Data Platforms (example: Snowflake, DataBricks, AWS, GCP, MS Azure)intermediate
- Experience with tools such as Salesforce Data Cloud, or similar enterprise Data platforms - Hands on deep Data Cloud experience is a strong plusintermediate
- Working knowledge of enterprise data warehouse, data lake and data hub conceptsintermediate
- Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positiveintermediate
Required Qualifications
- 15+ years in data architecture or consulting, with solution design and project delivery experience (experience, 15 years)
- Deep knowledge in MDM, Data Distribution and Data Modelling concepts (experience)
- Expertise in data modelling with strong understanding of metadata and lineage (experience)
- Experience in executing data strategies, landscape architecture assessments and proof-of-concepts (experience)
- Excellent communication, stakeholder management and presentation skills (experience)
- Strong technical writing and documentation ability (experience)
- Working knowledge of enterprise data warehouse, data lake and data hub concepts (experience)
- Strong understanding of Salesforce Products and functional domains such as Technology, Finance, Telco, Manufacturing and Retail is a positive (experience)
Preferred Qualifications
- Salesforce Certified Data Cloud Consultant - Highly Preferred (certification)
- Salesforce Data Architect - Preferred (experience)
- Salesforce Application Architect - Preferred (experience)
- Basic understanding of Hadoop spark fundamentals is an advantage (experience)
- Hands on deep Data Cloud experience is a strong plus (experience)
Responsibilities
- Salesforce Data Cloud Trusted Advisor: Be a trusted SME for Data Cloud to support and lead project delivery and customer engagements during pre-sales cycle. Including how Data Cloud relates to the success of AI
- Architecture Support: Provide Data and System Architecture guidance to Salesforce Account teams and Customers by reviewing proposed architecture. Also peer review project effort estimates, scope and delivery considerations
- Project Delivery: Work on cross-cloud project delivery and lead the data and analytics stream, spear-heading Data Cloud Design & Delivery. Ability to work collaboratively with cross-functional teams from Developer to Executive
- Data Architecture: Design and guide customer's enterprise data architecture aligned to business goals. Highlight the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy
- Data Cloud Enablement: Lead Data Cloud architecture enablement for key domains and cross cloud teams
- Analytics Support: Collaborate with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives
- Stakeholder Engagement: Work cross-functionally across multiple Salesforce teams and projects to deliver aligned and trusted data solutions. Facilitate and influence Executive Customer stakeholders while aligning technology strategy to business value and ROI. Build strong relationships with both internal and external teams, contributing to broader goals and growth
- Documentation: Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelines
Tags & Categories