Enterprise Data Architect
Texas, Texas, United States
A USD 134K-198K (estimate) Senior-level Full Time
Tasks
- Analyze enterprise data requirements
- Build batch and real time data processing pipelines
- Build end-to-end data pipelines
- Collaborate on logical and physical data models
- Create POCs and support client proposals
- Design data engineering and analytics solutions
- Design data models for analytics and reporting
- Develop ETL and ELT processes
- Develop distributed data processing using Hadoop ecosystem
- Enable cloud based data solutions on AWS
- Implement MLOps pipelines and integrations
- Implement data quality profiling validation reconciliation monitoring
- Ingest preprocess normalize transform validate and load data
- Integrate data pipelines with ML workloads
- Mentor junior team members and support onboarding
- Participate in Agile sprint planning standups reviews retrospectives
- Provide client facing consulting and solutioning
- Support data governance and compliance frameworks
- Support machine learning feature engineering and data preparation
- Support model deployment, monitoring, and retraining pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache HBase | Apache HDFS | Apache Hadoop | Apache Hive | Apache Kafka | Apache Spark | Data Governance | Data Modeling | Data Quality | Data profiling | ELT | ETL | Feature Store | Flume | Kubeflow | LLM | MLOps | MLflow | Machine Learning | MapReduce | Python | SageMaker | Scala | Sqoop
Education
Roles
Architect | Data Architect | Data Engineer | Engineer | Enterprise Data Architect
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