ES Data Ops Strategist

salesforce.com, inc.; Atlanta (GA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical benefits

Remote work flexibility

Employee stock purchasing program

Job summary

Salesforce.com, inc. in Atlanta, GA is seeking an ES Data Ops Engineer & Strategist to enhance data foundations for HR Operations. This role involves developing secure data pipelines, automating quality checks, and ensuring compliance with data privacy regulations.

The ideal candidate will possess 4-6 years of experience in data operations, along with strong skills in SQL, Python, and data modeling. Salesforce offers a supportive benefits package to ensure employee well-being.

Qualifications

• Experience in data operations or data engineering, preferably in a technical role.
• Proven track record in modeling complex workflows into analytics.
• Familiarity with cloud data platforms and data privacy standards.

Responsibilities

• Reimagine and build data models for HR service delivery.
• Develop operational data pipelines using SQL and Python.
• Ensure compliance with PII regulations for data security.

Skills

Data operations

Data engineering

SQL proficiency

Python proficiency

Data validation

Data modeling

Education

4-6 years of experience in data operations or data engineering

Tools

Snowflake

BigQuery

Airflow

Job description

Position Summary

The ES Office of Data (ES OOD) is the strategic data foundation for Salesforce's Global Employee Success (ES) Operations – championing trusted employee data, unified governance, HRIS security, and AI-ready data foundations that power seamless, intelligent hire-to-retire experiences. We are seeking a self‑driven ES Data Ops Engineer & Strategist within the ES Office of Data to establish and scale the data foundations specifically for our HR Operations team. This is a unique role designed for a data professional who loves building foundational structures, automating quality checks, and driving operational excellence.

Key Responsibilities

• Reimagine, design, and build the data models needed to track next‑generation HR service delivery, owning backend pipelines for operational KPIs such as case management lifecycles, CSAT, escalation rates, severity distributions, and Cost to Serve.
• Design and implement local data models, schemas, and staging areas tailored for agile HR Operations reporting and insights.
• Develop and maintain operational data pipelines using clean, production‑grade SQL and Python to apply HR business logic and transform raw data into action‑ready datasets.
• Build and support secure data connections, webhooks, and APIs to sync operational data across internal HR platforms and tools (e.g., ticketing systems, HRIS).
• Transition the team from reactive manual auditing to proactive, automated continuous monitoring – designing and deploying data quality scripts and scheduled test suites that instantly flag anomalies, missing fields, or logic violations in incoming HR operational data.
• Maintain, monitor, and optimize HR data pipelines and workflows – proactively identifying bottlenecks, automating manual steps, and establishing rigorous SLAs for data freshness and uptime.
• Enforce strict data security boundaries, ensuring localized operational data views comply with global PII regulations, data masking standards, and confidentiality protocols.
• Partner closely with the core HR Data Product Engineering team to align with broader corporate data architectures, ensure governance compliance, and smoothly ingest upstream core datasets.
• Act as the technical bridge across the ES Office of Data pillars – collaborating with Data Governance to embed security rules into pipelines, engineering the high‑performance upstream data layers that fuel HRIS Reporting, and translating Data Program Strategy and Ops roadmaps into automated technical solutions.

Required Skills & Experience

• 4–6 years of experience in data operations, data engineering, or a highly technical business intelligence role.
• Experience modeling complex operational workflows (e.g., ticketing, customer support, case management) into structured analytics tables.
• Proven experience building data validation, monitoring, and automated testing setups (e.g., dbt tests or custom Python validation scripts).
• Strong SQL and Python proficiency for automated workflows and data transformations.
• Solid understanding of data schemas, dimensional modeling, and structuring data for high‑performance operational reporting.
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery), orchestration tools (e.g., Airflow), and integrating data via REST APIs.
• Working knowledge of data privacy standards and PII handling practices (e.g., data masking, access controls).

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.

Posting Statement

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Compensation & Benefits

In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.