Data Warehouse Lead Developer Jobs

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Lead Cloud Data Engineer

Baptist Health South Florida Miami, FL

Miami, FL

Today

$129k - $167k/yr Full time Backend Developer Apache Airflow Application Security

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Job Description

The Lead Cloud Data Engineer role at Baptist Health South Florida partners with cross-functional teams to design, build, and maintain data systems and applications. The position emphasizes scalable, reliable automated data pipelines, production support with service-level adherence, and strong healthcare data security and compliance knowledge.

Responsibilities

Collaborate with multiple teams to design, build, and maintain data systems and applications.
Design and analyze data storage structures and implement performant automated data pipelines that are reliable and scalable in a fast-growing data environment.
Apply data modeling principles and modern data platform knowledge to design and implement pipeline solutions.
Provide production support and adhere to defined SLA(s).
Test and validate deliverables using industry best practices and communicate results effectively with peers across technology teams.

Requirements

Self-starter with strong organization, problem-solving, and learning ability.
Demonstrated technical proficiency with a strong attention to detail.
Knowledge of data security, compliance, and healthcare service policies.
Proven experience testing and validating using industry best practices and communicating with technology peers.
Strong interpersonal, written, and oral communication skills, with the ability to work across all levels of the organization.
Bachelor’s degree in computer science or a related field.
At least 10 years experience with a Bachelor’s degree and 8 years experience with a Master’s degree, with recent experience in data engineering and end-to-end data pipeline automation.
Strong understanding of relational and NoSQL databases and data structures.
Understanding of data science and business intelligence workflows.
Programming experience ideally in Python and Java.
Experience with large-scale data warehousing and analytics projects, including AWS technologies.
Track record of successful written communication, with technical depth and business awareness.
Experience with machine learning toolkits.
Experience in production support and troubleshooting.
10+ years hands-on experience with modern data platforms such as Snowflake and Redshift.
10+ years hands-on experience with data warehouse design and architecture using AWS, including Data Vault 2.
Experience with (or preferred): 0 or dimensional modeling, orchestration tools such as Airflow and Control-M, containerization using Docker and Kubernetes, and infrastructure as code with CloudFormation and Terraform.
Experience with AWS services including S3, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, and RDS.
Familiarity with Agile methodology and DevOps processes, plus modern data integration tools such as dbt, Informatica Power Center, and AWS Glue or similar.
3+ years of data modeling, and familiarity with AI/ML and BI tools (plus).
Big data engineering experience with Python and SQL.
Advanced proficiency in healthcare dimensional modeling, including designing star and snowflake schemas for healthcare analytics, clinical quality measures, operational efficiency, and revenue cycle reporting.
Practical background mapping and normalizing internal hospital codes to standardized medical vocabularies including ICD-10, SNOMED-CT, LOINC, and RxNorm.
Production engineering experience on Google Cloud Platform (GCP), including GCS, Dataproc, BigQuery, Cloud Run, Cloud Run Functions, and Cloud Composer.
Cloud security and identity experience, including role-based access control with Cloud IAM, securing credentials with GCP Secret Manager, and following HIPAA security rules for PHI.
Strong programming foundation in Python with hands-on big data processing using PySpark, including job tuning, partition skew handling, and Spark cluster resource optimization.
Deep experience modeling and transforming with dbt Core or dbt Cloud, including reusable SQL models, automated testing, and data dictionary documentation.
Advanced workflow orchestration using Apache Airflow (Cloud Composer) and enterprise schedulers such as Control-M.
Hands-on data governance integration with Collibra to support business glossaries, technical data dictionaries, and automated data lineage tracking.

Key Technologies

SQL, Python, Java, AWS S3, Hadoop, Hive, Redshift, AWS, Snowflake, Data Vault 2
Airflow, Control-M, Docker, Kubernetes, CloudFormation, Terraform
AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS
Agile methodology, DevOps process, dbt, Informatica Power Center
Healthcare and analytics modeling: Snowflake schemas, star schemas, snowflake schemas, ICD-10, SNOMED-CT, LOINC, RxNorm
GCP and tooling: Google Cloud Platform (GCP), Google Cloud Storage (GCS), Dataproc, Spark, PySpark, BigQuery, Cloud Run, Cloud Run Functions, Cloud Composer
Security and governance: Cloud IAM, GCP Secret Manager, HIPAA, PHI, Collibra

Salary and Location

Location: Florida (onsite)
Estimated salary range: USD 128,671 to 167,273 per year (depending on experience)

Benefits

Career growth and development opportunities, with clear pathways and ongoing support.
Comprehensive health and wellness resources that go beyond traditional benefits.
A wellness program designed to help employees reduce their medical plan deductible and lower out-of-pocket healthcare costs.
Tuition reimbursement to support continued learning and advancement.

Education

Bachelor’s degree

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