Analytics Engineering Lead
Agilent Technologies1 month ago
Singapore, Singapore +2 moreStaff+
Base Salary
$144k - $270k/yr
Responsibilities
- Partner with IT, enterprise architecture, and platform enablement teams to scale the enterprise data lakehouse and reporting ecosystem.
- Own analytical data architecture, including silver and gold data products, dimensional models, semantic assets, and integration patterns.
- Design and build cleansed, conformed, and consumption-ready data products for executive reporting, analytics, and decision intelligence.
- Develop and govern certified semantic models, standardized KPI frameworks, and reusable business logic.
- Implement data governance practices covering data quality, reconciliation, metadata, lineage, certification, and ownership.
- Automate and optimize data transformation workflows using SQL, Python, PySpark, and cloud-native data engineering services.
- Establish DataOps and platform management practices, including source control, automated testing, CI/CD, monitoring, performance optimization, security controls, and production support.
- Design AI-ready data products and knowledge assets supporting advanced analytics, machine learning, generative AI, and decision intelligence.
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.
- At least 8 years of experience in analytics engineering, data modeling, data warehousing, or data platform development.
- Expert-level SQL and strong Python/PySpark proficiency, with experience building scalable pipelines, lakehouse architectures, and governed data products.
- Extensive experience with cloud data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent technologies, including orchestration and transformation frameworks.
- Experience architecting enterprise data products and governance frameworks, including KPI frameworks, metadata, and data quality controls.
- Understanding of ERP and operational business processes, including SAP ECC data structures and MM, PP, QM, and SD modules.
- Familiarity with Oracle Agile PLM is preferred.
- Ability to influence technical and business stakeholders and communicate architectural concepts across a matrixed organization.
- Experience with GitHub, Confluence, and Jira for agile delivery, version control, documentation, and product lifecycle management.
- Experience supporting global supply chain, manufacturing, quality, regulatory operations, ERP modernization, data migrations, or self-service analytics is preferred.
- Relevant Microsoft Fabric, cloud, or data engineering certifications such as MS DP-600 or MS DP-700 are preferred.
Benefits
- Full-time position with a day shift and no stated end date.
- Travel is required approximately 10% of the time.
- Eligible for bonus, stock, and benefits.
About Agilent Technologies
Agilent Technologies builds analytical instruments, lab software, diagnostic and genomics solutions, plus consumables and services used by pharmaceutical, chemical, environmental, and clinical labs. It sells systems such as chromatography and mass spectrometry platforms, pathology and molecular diagnostic kits, and supports lab operations through its CrossLab services business. Founded in 1999 and headquartered in Santa Clara, California, Agilent is a public company listed on the NYSE (ticker: A) with global manufacturing and R&D sites.