Smartsheet

SaaS

SrDataEngineerII-Salesforce

India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Data Engineer II - Salesforce at Smartsheet. Skills: Salesforce Data Engineering, ETL/ELT pipeline development, Data Modeling, SQL, Python. Create scalable ETL/ELT pipelines to move and transform data between Salesforce and platforms like Snowflake or NetSuite. Use Salesforce APIs (REST, SOAP, Bulk) and tools like Boomi, MuleSoft, or Python to maintain integrations”

What You'll Achieve.

ensure clean, reliable, and timely data flows across the organization enabling sales, marketing, finance, and leadership teams to make data-driven decisions with confidence; meet SLAs and minimize data delays

Industry & Context.

SaaS
Problems you'll solve

analytical and SQL skills

What They're Looking For.

Must Have

8+ years of experience in data engineering, at least 4 years specifically working with Salesforce data, data modeling skills (relational, dimensional and flattened), analytical and SQL skills, with attention to detail, data engineering experience with 1 or more non-SQL languages like Python, Scala or Java, Hands-on experience with Salesforce APIs (REST, SOAP, Bulk API) and tools such as Data Loader or Salesforce Connect, Experience with at least one cloud data warehouse: Snowflake, Google BigQuery, or Amazon Redshift, Familiarity with dbt (data build tool) for transformation and data modelling, Familiarity with both established and emerging data technologies and the ability to evaluate and ascertain their applicability, communication skills in English, with the ability to collaborate across global time zones, Self-driven and highly dependable in an agile and results-oriented environment

Nice to Have

Salesforce certifications such as Salesforce Administrator, Platform App Builder, or Data Architect, Experience with MuleSoft, Fivetran, or Informatica for enterprise integration, Exposure to CRM Analytics (formerly Tableau CRM / Einstein Analytics), Experience working in a SaaS company or high-growth technology environment, Familiarity with data governance frameworks, GDPR/PDPA data compliance, or data cataloguing tools (e. g. , Alation, Collibra), Understanding of event-driven architectures and streaming platforms such as Apache Kafka or Salesforce Platform Events

What You'll Do.

Create scalable ETL/ELT pipelines to move and transform data between Salesforce and platforms like Snowflake or NetSuite

Use Salesforce APIs (REST

Bulk) and tools like Boomi

or Python to maintain integrations

Use Apache Airflow for scheduling and Salesforce Flow for event-driven automation

Design and maintain relational and dimensional data models

Develop dbt models to prepare datasets for Sales

Maintain a deep understanding of Salesforce’s custom and standard object models

Monitor pipeline performance to meet SLAs and minimize data delays

Enforce standards for data cleansing

Document data lineage and ownership policies to ensure proper data management

Prepare data for tools like Tableau and Power BI to power dashboards and forecasts

How You'll Work.

Team & Collaboration

Partner with Salesforce admins, analysts, and RevOps to gather requirements and provide technical guidance; Engage in sprint planning, code reviews, and technical design within an Agile framework; collaborate across global time zones

Communication Scope

communication skills in English; ability to collaborate across global time zones

Process & Methodology

sprint planning, Agile framework

Full Job Description

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday. About the Role The Field Systems team is looking for a talented and experienced Salesforce Data Engineer to join our growing India-based Data Engineering team. In this role, you will be the bridge between Smartsheet's Salesforce CRM ecosystem and our broader enterprise data platform. You will design, build, and maintain robust data pipelines that ensure clean, reliable, and timely data flows across the organization enabling sales, marketing, finance, and leadership teams to make data-driven decisions with confidence. You Will: Pipeline & Integration Management Create scalable ETL/ELT pipelines to move and transform data between Salesforce and platforms like Snowflake or NetSuite. Use Salesforce APIs (REST, SOAP, Bulk) and tools like Boomi, MuleSoft, or Python to maintain integrations. Use Apache Airflow for scheduling and Salesforce Flow for event-driven automation. Data Architecture & Modeling Design and maintain relational and dimensional data models. Develop dbt models to prepare datasets for Sales, Marketing, and Revenue teams. Maintain a deep understanding of Salesforce’s custom and standard object models. Performance & Quality Control Monitor pipeline performance to meet SLAs and minimize data delays. Enforce standards for data cleansing, deduplication, and validation. Document data lineage and ownership policies to ensure proper data management. Collaboration & Analytics Support Prepare data for tools like Tableau and Power BI to power dash

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