Analytics Engineering Lead (AI)

Location: US-CA-Santa Clara

Salary: $143,760–$269,550 per year, plus eligibility for bonus, stock, and benefits.

Company

hirify.global develops enterprise technologies and solutions supporting global operations, analytics, and scientific business functions.

What you will do

• Scale the Global Operations enterprise data lakehouse and reporting ecosystem with IT, enterprise architecture, and platform enablement teams.
• Own analytical data architecture, including silver- and gold-layer data products, dimensional models, semantic assets, and integration patterns.
• Design and build cleansed, conformed, consumption-ready data products for executive reporting, analytics, and decision intelligence.
• Develop certified semantic models, standardized KPI frameworks, reusable business logic, and data quality controls.
• Automate and optimize transformations using SQL, Python, PySpark, and cloud-native data engineering services.
• Establish DataOps practices covering source control, testing, CI/CD, monitoring, security, performance optimization, and production support.

Requirements

• Bachelor’s degree in data engineering, data science, computer science, statistics, or a related field, or equivalent professional experience; a master’s degree is preferred.
• 8+ years of experience in analytics engineering, data modeling, data warehousing, or data platform development.
• Expert-level SQL and strong Python/PySpark skills, including scalable pipelines, lakehouse architectures, and governed data products.
• Experience with Microsoft Fabric, Databricks, Snowflake, or equivalent cloud data platforms, including orchestration and transformation frameworks.
• Knowledge of ERP and operational processes, including SAP ECC modules MM, PP, QM, and SD; Oracle Agile PLM familiarity is preferred.
• Experience with GitHub, Confluence, Jira, DevOps practices, agile delivery, version control, documentation, and product lifecycle management.

Nice to have

• Experience supporting global supply chain, manufacturing, quality, or regulatory operations.
• Experience with ERP modernization, system consolidation, data migration, and transformation to modern analytics platforms.
• Experience driving adoption of enterprise data products, governance, and self-service analytics.
• Microsoft Fabric, cloud, or data engineering certifications such as MS DP-600 or MS DP-700.

Culture & Benefits

• Full-time schedule with day-shift hours and no fixed end date.
• Eligibility for bonus, stock, and benefits.
• Travel required approximately 10% of the time.
• Inclusive, equal-opportunity workplace committed to accessibility and nondiscrimination.