Senior Salesforce Data Engineer

Key Responsibilities
Salesforce Data Engineering & Analysis
Pipeline Architecture

Build scalable ETL/ELT pipelines to ingest, transform, and synchronize large datasets into Salesforce.

Design integration solutions between Salesforce and enterprise applications using modern APIs and middleware platforms.

Advanced Analytics

Conduct deep-dive data analysis using SQL, Python, DBAmp to identify data quality issues, trends, and anomalies.

Develop data-driven insights that support business operations and strategic initiatives.

Data Modelling

Design, optimize, and maintain Salesforce standard and custom objects.

Create scalable data models that support reporting, analytics, and business intelligence requirements.

Data Governance

Implement automated data quality controls, deduplication processes, and data cleansing frameworks.

Enforce data governance, security, compliance, and retention policies across Salesforce platforms.

Performance Optimization

Monitor and optimize data integration processes, APIs, and Salesforce data operations.

Improve system scalability and data processing efficiency.

Required Tools & Technical Skillset
Salesforce Ecosystem

Data Management

Salesforce Sales Cloud, Service Cloud, Data Cloud

Data Loader

Bulk API 2.0

Platform Events

Change Data Capture (CDC)

Querying & Development

Expert-level SOQL and SOSL

Apex programming and Apex collections

Salesforce REST and SOAP APIs

Security & Architecture

Deep understanding of Salesforce Data Model and Schema

Salesforce Shield (Data Encryption)

Role Hierarchies, Sharing Rules, Permission Sets, and Data Security best practices

Core Data Engineering & Analytics
Languages

Expert-level SQL

Proficiency in Python (Pandas, NumPy) for data analysis and transformation

Data Warehousing & Integration

Snowflake

BigQuery

Oracle Database

SQL Server

Data integration and ETL/ELT frameworks

BI & Analytics Tools

Power BI

Tableau

Salesforce CRM Analytics

DevOps & Methodology

Tools

Git

GitHub

GitLab

Process

CI/CD deployment pipelines

Agile/Scrum development methodologies

DataOps and DevOps best practices

Qualifications & Experience
Experience
7–9+ years of experience in Data Engineering, Salesforce Data Architecture, Data Integration, or CRM Data Management.

Education
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.

Problem Solving
Proven track record delivering large-scale Salesforce data migration, integration, and transformation projects.

Communication
Ability to translate complex data structures and technical concepts into business-friendly insights for stakeholders.

We have great people here and are looking for more. Come join us!
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Equal Employment Opportunities at First Advantage
First Advantage is an equal opportunity employer. We are committed to providing a workplace and recruitment process that is free from unlawful discrimination, harassment, and retaliation. Employment decisions at First Advantage are based solely on qualifications, merit, and business needs. We do not discriminate in any aspect of employment on the basis of race, color, national origin, ancestry, citizenship, religion, creed, sex, gender identity, gender expression, sexual orientation, marital or family status, pregnancy, age, physical or mental disability, medical condition, genetic information, veteran or military status, or any other characteristic protected by applicable law.
Originally posted on Himalayas