Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. 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. Qualification 15 years full time education