Quality Engineering Lead and Salesforce Data Cloud Architect

Quality Engineering Lead

Project Role : Quality Engineering Lead
Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution.
Must have skills : Salesforce Data
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Project Role: Salesforce Data Cloud Architect
Project Role Description
Lead the enterprise design, architecture, and governance of Salesforce Data Cloud (CDP/Data 360) solutions to enable scalable, secure, and insight-driven customer engagement platforms. Drive strategic data transformation initiatives by aligning business objectives with robust data architecture, advanced identity resolution, and real-time activation frameworks.

Must-Have Skills
Salesforce Data Cloud / CDP / Salesforce Data / Data 360
Enterprise Data Architecture
Identity Resolution & Customer 360 Strategy
Good-to-Have Skills
Salesforce Development
Salesforce Marketing Cloud / Personalization
AI-driven use cases (Agentforce)
Snowflake , Databricks or similar cloud data platforms
Experience Requirements
12+ years of overall experience in Salesforce and enterprise data architecture
5 years of deep hands-on experience in Salesforce Data Cloud / CDP / Data 360
Proven experience leading large-scale enterprise implementations
Educational Qualification
15 years of full-time education
Bachelor s or Master s degree in Computer Science, Information Technology, Data Engineering, or related field
Roles & Responsibilities
Strategic Architecture & Leadership
Define and own enterprise-wide Salesforce Data Cloud architecture strategy, ensuring scalability, performance, governance, and cost optimization.
Establish Data Cloud as a core Customer 360 foundation integrated across CRM, Marketing, Commerce, Service, and external ecosystems.
Drive architectural decisions across ingestion, harmonization (DMOs/DLOs), identity resolution, calculated insights, and real-time activation.
Data Engineering & Platform Design
Architect and optimize high-volume data pipelines using batch, streaming, API-based ingestion, and zero-copy federation patterns.
Design enterprise-grade data models aligned with canonical data frameworks and governance standards.
Lead advanced implementations of Calculated Insights, Data Transforms, and real-time segmentation.
Governance, Security & Compliance
Define enterprise data governance frameworks including consent management, privacy compliance data quality, and metadata standards.
Implement identity resolution strategies using deterministic and probabilistic matching.
Establish monitoring frameworks for credit consumption, performance, scalability, and operational resilience.
Activation & Business Enablement
Enable AI-powered personalization, predictive segmentation, and real-time customer journeys.
Drive activation across Marketing Cloud, Personalization, CRM, advertising platforms, and external downstream systems.
Partner with business stakeholders to translate customer engagement strategies into scalable technical solutions.
Operational Excellence
Implement observability, performance benchmarking, and cost-optimization strategies.
Lead platform audits, performance tuning, and continuous improvement initiatives.
Develop reusable frameworks, accelerators, and best practices.
Leadership & Stakeholder Management
Act as a trusted advisor to enterprise architects, C-level stakeholders, and business leaders.
Lead cross-functional teams including architects, developers, data engineers, and consultants.
Support pre-sales, RFP responses, solution estimations, and architecture governance boards.
Mentor senior architects and build Data Cloud capability within the organization.

Professional & Technical Skills
Deep expertise in Identity Resolution, Data Modeling (DMOs/DLOs), Calculated Insights, Data Transforms
Strong SQL and advanced data engineering fundamentals
Experience integrating cloud data warehouses such as Snowflake
Expertise in enterprise-scale data platform design and governance
Experience in multi-org, multi-region implementations
Strong understanding of API integrations and event-driven architectures
Salesforce Data Cloud Consultant Certification (mandatory)
Additional Salesforce Architect certifications preferred
Additional Information
The ideal candidate will demonstrate:
Proven leadership in architecting large-scale Customer Data Platforms.
Strong business acumen with the ability to influence executive stakeholders.
Experience delivering measurable business value through customer data transformation initiatives.
Ability to define long-term enterprise data strategy aligned with digital transformation goals.