About The Role

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.