Designs and maintains Salesforce Data Cloud solutions for audience segmentation, activation, real-time ingestion, and data governance. Responsibilities include developing SQL queries, configuring Data Extensions, Data Model Objects, Data Streams, Calculated Insights, and Computed Traits; architecting cloud integrations with Snowflake, AWS, Azure, or GCP; resolving data quality issues; and implementing consent and governance frameworks.
Salesforce Data Cloud Engineer – Audience & Activation
Summary
We are seeking a skilled Salesforce Data Cloud Engineer to drive our audience and activation initiatives within the IT Services sector. This pivotal role focuses on leveraging advanced data capabilities to transform raw information into actionable customer insights. The successful candidate will architect and maintain robust data solutions, ensuring seamless integration across platforms while upholding the highest standards of data quality and governance. By utilizing specialized tools and frameworks, this position plays a critical part in enabling personalized engagement strategies and optimizing data-driven decision-making processes for our clients.
Responsibilities
- Design, implement, and optimize Calculated Insights and Computed Traits to enhance audience segmentation and targeting capabilities.
- Develop and manage complex SQL queries to extract, transform, and load data efficiently within the Salesforce ecosystem.
- Configure and maintain Data Extensions to support scalable data storage and retrieval operations.
- Architect data pipelines and integrations utilizing cloud infrastructure such as Snowflake, AWS, Azure, or GCP.
- Conduct thorough data quality assessments and troubleshooting to resolve discrepancies and ensure data integrity.
- Establish and enforce Consent management protocols and Data Governance frameworks to maintain regulatory compliance.
- Manage the configuration of Salesforce Data Cloud (Data 360) to support real-time data ingestion and processing.
- Implement and monitor Data Streams to facilitate continuous data flow between source systems and the data cloud.
- Define and maintain Data Model Objects (DMOs) to structure data relationships and support advanced analytics.
Requirements
Requirements:
- Minimum of 4+ years of professional experience in data engineering, cloud architecture, or related technical fields.
- Proven expertise in Salesforce Data Cloud, specifically regarding Data 360 and its core components.
- Strong proficiency in SQL for data manipulation, analysis, and reporting.
- Hands-on experience with cloud platforms including Snowflake, AWS, Azure, or Google Cloud Platform (GCP).
- Demonstrated ability to manage Data Extensions and Data Model Objects (DMOs) effectively.
- Deep understanding of data quality principles, troubleshooting methodologies, and governance standards.
- Experience working with Calculated Insights and Computed Traits to derive meaningful business intelligence.
- Knowledge of Consent management practices and data privacy regulations.
- Familiarity with Data Streams and real-time data processing architectures.
- Ability to translate complex data requirements into technical solutions that align with business goals.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads 24/7 operation, maintenance, engineering, and hook-up of semiconductor fab facilities and critical utilities. Oversees gas and chemical systems, UPW, wastewater, HVAC, electrical infrastructure, cleanroom controls, EHSS compliance, incident response, reliability programs, commissioning, budgets, vendors, and audits. Develops facilities teams, drives preventive maintenance and root-cause analysis, and ensures utility uptime, safety, regulatory compliance, and production continuity.
Top Skills:
Artificial IntelligenceBmsBulk Gas Distribution SystemsChemical Distribution SystemsCleanroom Environmental ControlCmmsElectrical SystemsFmsHvacScadaUltra-Pure Water (Upw)Wastewater Treatment
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Owns project MIS, reporting, dashboards, scheduling, governance, cost and change tracking, risk management, document control, and contractor coordination for major construction programs. The role integrates data from project stakeholders, monitors earned value and financial performance, supports integrated master schedules in Primavera P6, manages project records, and drives automation and AI-enabled reporting while ensuring EHS, quality, compliance, and handover requirements.
Top Skills:
AconexAPIsAutodesk Construction CloudBim 4D/5DMicrosoft CopilotExcelPower AutomatePower BIPower QueryPrimavera P6ProcoreSharepoint
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads OPEX budgeting, quarterly forecasting, cost modeling, variance analysis, and performance reporting for Construction and Facilities. Manages SAP purchase requisitions, receipts, accruals, purchase orders, invoice matching, and procure-to-pay tracking. Ensures finance, procurement, tax, audit, and SOX compliance while identifying cost savings and improving reporting processes. Uses Power BI, Excel/VBA, Power Automate, AI tools, and automation to enhance forecasting, dashboards, invoice processing, and financial data governance.
Top Skills:
Enterprise Genai AssistantsMicrosoft 365 CopilotExcelPower AutomatePower BIRpaSAPVBA
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
