Astreya
Data Scientist III - Lead Data Architect
Remote, CA · Mid · Contract
Sponsorship not specified$108k-$180kDetected 27 days ago
Data StructuresSQLBigQuerySnowflakeRedshiftVector DatabasesAWSGCPAzureKafkaMachine LearningSparkdbtData EngineeringData ScienceLLMsMLOpsComplianceForecastingCollaborationRisk ModelingSCADA
About the role
- Job Title: Data Modeling Expert – AI & Analytics
- We are seeking a Data Modeling Expert with strong AI/Analytics focus to enable next-generation data platforms supporting predictive analytics, machine learning, and intelligent automation. This role will design and optimize data models that power use cases such as grid reliability, predictive maintenance, wildfire risk modeling, customer analytics, and
Responsibilities
- Build and maintain feature-ready datasets for data science teams (feature engineering support)
- Develop semantic and analytical data layers for BI, AI, and self-service analytics
- Collaborate with data scientists to translate ML use cases into scalable data structures
- Ensure data models support MLOps frameworks (model training, validation, deployment pipelines)
- Implement data lineage, observability, and quality frameworks to support trusted AI outcomes
- Optimize data structures for lakehouse architectures and distributed compute environments
Requirements
- 8+ years in data modeling, data architecture, or analytics engineering
- 3+ years of Utility/energy domain experience (smart grid, AMI, SCADA systems) supporting electric, gas, and/or water utilities.
- Strong expertise in:
- Experience designing data models for:
- Proven experience supporting AI/ML workloads in production environments
Nice to have
- Experience with cloud AI ecosystems:
- AWS (SageMaker, Redshift)
- Azure (Synapse, Azure ML)
- GCP (BigQuery, Vertex AI)
- Familiarity with time-series and streaming platforms (Kafka, Spark Streaming)
- Knowledge of feature stores (Feast, Tecton)
- Experience with MLOps tools (MLflow, Kubeflow)
- Understanding of LLM data preparation, vector databases, and embeddings
Skills
- AI/ML Data Modeling & Feature Engineering
- Lakehouse & Modern Data Stack (dbt, Spark, Delta Lake)
- Time-Series & Streaming Data Modeling
- Data Governance for AI (quality, lineage, bias mitigation)
- Performance Optimization for Analytics Workloads
- Cross-functional collaboration (Data Science, Engineering, Business)
- Medical provided through UHC (PPO, HSA, Surest options) / Medical provided through Kaiser (HMO option only) for California employees only
- Dental provided through UHC
- Nationwide Vision provided by UHC
- Flexible Spending Account for Health & Dependent Care
- Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific)
- Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera
Compensation
- $108,000.00 - $180,000.00 USD (Salary)
- Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position.
Benefits
- Design AI-ready data models to support machine learning, advanced analytics, and real-time decisioning
- Corporate Wellness Program provided by Goomi Group
- Basic and Supplemental Life Insurance
- Short Term & Long Term Disability
- Tuition Reimbursement (available 6 months after start date, capped)
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