Analytics Engineering Lead

Agilent Technologies

. Partner with IT, enterprise architecture, and platform enablement teams to scale the Global Operations enterprise data lakehouse and reporting ecosystem .

Posted 10/7/2026full-timeUnited StatesSenior💰 $143,760 - $269,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, focusing on building scalable data architectures, implementing data governance practices, and developing AI-ready data products. Proficient in SQL, Python, and cloud-native data engineering services to optimize data transformation workflows and support advanced analytics.

Highest-signal resume keywords

Data EngineeringDimensional ModelingSQLPython/PySparkData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData WarehousingData Pipeline DevelopmentData Lakehouse ArchitectureData Quality ControlsKPI FrameworksAutomated TestingCI/CDPerformance OptimizationMachine Learning

Soft Skills

Stakeholder InfluenceCommunication

Tools & Technologies

Microsoft FabricDatabricksSnowflakeGitHubConfluenceJiraOracle Agile PLM

Certifications & Qualifications

MS DP-600MS DP-700

Industry Keywords

ERPSupply ChainManufacturingQuality OperationsRegulatory Operations

Tech Stack

Tools & technologies

CloudERPOraclePySparkPythonSQL

About the role

Key responsibilities & impact

Partner with IT, enterprise architecture, and platform enablement teams to scale the Global Operations enterprise data lakehouse and reporting ecosystem
Own the Global Operations analytical data architecture, including silver- and gold-layer data products, dimensional models, semantic assets, and integration patterns
Design and build cleansed, conformed, and consumption-ready data products integrating enterprise-system data
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

What you’ll need

Bachelor's degree in Data Engineering, Data Science, Computer Science, Statistics, or a related field, or equivalent professional experience
8+ years of experience in analytics engineering, data modeling, data warehousing, or data platform development
Deep expertise in dimensional modeling and modern data architectures
Expert-level SQL and strong proficiency in Python/PySpark
Experience building scalable data pipelines, lakehouse architectures, and governed data products
Experience with Microsoft Fabric, Databricks, Snowflake, or equivalent technologies, including orchestration and transformation frameworks
Experience architecting enterprise data products, governance frameworks, and reusable analytical assets, including KPI frameworks, metadata, and data quality controls
Strong understanding of ERP and operational business processes, including SAP ECC data structures and MM, PP, QM, and SD modules
Ability to influence technical and business stakeholders and communicate architectural concepts across a matrixed organization
Experience with GitHub, Confluence, and Jira
Master's degree preferred
Familiarity with Oracle Agile PLM preferred
Previous experience supporting global supply chain, manufacturing, quality, or regulatory operations preferred
Experience supporting ERP modernization initiatives preferred
Experience driving adoption of enterprise data products, governance practices, and self-service analytics preferred
Relevant Microsoft Fabric, cloud, or data engineering certifications such as MS DP-600 or MS DP-700 preferred

Benefits

Comp & perks

Bonus eligibility
Stock eligibility
Benefits
10% travel requirement