Network IoT Engineer

• Design and architect end-to-end Databricks-based data platforms on AWS for large-scale healthcare data.
• Lead the development of Lakehouse architectures using Databricks (Delta Lake, Unity Catalog).
• Define data ingestion patterns for structured and unstructured healthcare data (EHR, claims, HL7, FHIR, imaging, IoT).
• Architect real-time and batch data pipelines using Apache Spark, Delta Live Tables, and Databricks Workflows .
• Implement data governance, security, and access controls aligned with HIPAA and organizational policies.
• Optimize performance, scalability, and cost for Databricks workloads on AWS.
• Collaborate with data scientists, analysts, compliance teams, and business stakeholders.
• Define best practices, reference architectures, and coding standards.
• Lead and mentor data engineers and contribute to architectural decision-making forums.
• Support CI/CD, version control, and DevOps practices for Databricks (Databricks Repos, Git integration).

Required Technical Skills Databricks & Big Data:

• Databricks on AWS (clusters, jobs, notebooks, workflows)
• Apache Spark (PySpark / Spark SQL)
• Delta Lake, Unity Catalog
• Data modeling for analytics (star/snowflake schemas)
• Real-time and batch processing patterns
• AWS Cloud S3, EC2, IAM, VPC
• AWS Glue, Athena, Redshift
• AWS Lambda, Step Functions
• CloudWatch, CloudTrail
• Security and encryption (KMS, IAM policies)

Data Engineering & Integration:

• ETL/ELT design and optimization
• Streaming technologies (Kafka, Kinesis)
• APIs and data integration
• SQL and Python (strong proficiency)

Databricks Architect AWS (Healthcare Domain) Location : Remote Contract role Experience 10+ years in data engineering/architecture, 3 5+ years on Databricks and AWS Role Overview We are seeking an experienced Databricks Architect with strong expertise in AWS cloud and a proven background in the Healthcare domain . The ideal candidate will design, architect, and lead scalable analytics and data engineering solutions leveraging Databricks, Spark, and AWS services while ensuring compliance with healthcare regulations such as HIPAA ., * Strong understanding of Healthcare data models and workflows

• Experience with EHR, EMR, claims, payer/provider data
• Familiarity with HL7, FHIR , ICD-10, CPT, SNOMED
• HIPAA compliance, PHI/PII handling, data masking
• Experience with quality measures, clinical analytics, or population health is a plus, * Databricks Certified Data Engineer / Databricks Certified Architect
• AWS Certified Solutions Architect (Associate or Professional)
• Experience with MLOps or MLflow in Databricks
• Familiarity with data visualization tools (Power BI, Tableau, Looker)
• Experience in large healthcare enterprises or HealthTech companies

Education:

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field Soft Skills:

• Strong communication and stakeholder management
• Ability to translate business and clinical requirements into technical solutions
• Leadership mindset and mentoring capability
• Problem-solving and decision-making skills