- Responsible for designing, building, and supporting GCP based ecosystems designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.

- Bring new data sources into GCP, transform and load to databases.

- Provide technical leadership across Google Cloud Platform (GCP) teams to lead the design and delivery of next-generation GenAI/LLM-based solutions.

- Identify, design, and implement internal process improvements, automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.

- Develop and review data management plans, architecture plans, data transfer plans, and data security and privacy plans, including event monitoring and auditing guidelines, to ensure that systems meet security and technical requirements.

- Develop and review standard operating procedures to meet high standards for data organization, quality, and security.

- Provide leadership in developing standards and best practices.

- Build analytics tools to provide actionable insights into operational efficiency, service delivery, and policy evaluation.

- Deliver consistent and reliable processes and high-quality output on independent and team projects.

- Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles.

- Participates in large-scale development projects involving multiple areas outside of core team.

- Designs fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps.

- Shares knowledge and experience to contribute to growth of overall team capabilities.

- Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems.

- Work closely with management, architects, and other teams to develop and implement the projects.

- Actively participate in technical group discussions and adopt any innovative technologies to improve the development and operations.

- Rapidly develop prototypes and deliver just-in-time solutions.

- Gather requirements, designs, constructs, and deliver solutions with minimal team interaction.

- Works in an environment with rapidly changing business requirements and priorities

- Demonstrates deep understanding and acts as a leader in the teams continuous integration and continuous delivery automation pipeline.

- Work collaboratively with Data Scientists, business, and IT leaders throughout the company to understand Cloud/Big Data needs and use cases.

- A technical expert leading a high-performing team to develop, construct, test and maintain sound, secure data architectures that meet business needs.

- A team-oriented specialist who works collaboratively with business leaders, project managers, and across technical teams to build the right thing.

- A strategic thinker who improves the functionality and value of the clinical systems

Education & Experience :

- Bachelor's degree in computer science or related field Required

- Master's degree in computer science or related field Preferred

- 5+ years of experience in Data Engineering Required

- 1+ year(s) of experience in Healthcare Preferred

- 10+ years of experience in Information Technology Required

Knowledge, Skills, Abilities, Behaviors :

- A successful candidate will have :

- Strong understanding of best practices and standards for GCP application design and implementation.

- Three+ Year of hands-on experience with GCP platform and experience with many of the following components :

1. GCS, Cloud Run, Cloud Functions

2. Bigtable, Cloud SQL

3. Kafka, Pub/Sub

4. Python, Golang, Spark, Scala or Java

5. BigQuery, Dataflow, Data Fusion

6. GKE, CI/CD and Logging & Monitoring

- Understanding of Lambda Design Architectures and Real-Time Streaming

- Experience with Unstructured Data, Real-Time Streaming with GCP

- Ability to multitask and to balance competing priorities.

- Requires strong practical experience in agile application development, file systems management, and DevOps discipline and practice using short-cycle iterations to deliver continuous business value.

- Knowledge of all facets of GCP ecosystem development including ideation, design, implementation, tuning, and operational support.

- Ability to define and utilize best practice techniques and to impose order in a fast-changing environment. Must have strong critical thinking skills.

- Strong verbal, written, and interpersonal skills, including a desire to work within a highly matrixed, collaborative environment.

- A successful candidate may have :

1. Experience in Healthcare Domain

2. Experience in Patient Data

3. Experience with Natural Language Processing (NLP)

Hardware/Operating Systemsc:

- Linux, UNIX

- GCP

- Distributed, highly scalable processing environments.

Databases :

- NoSQL, Hbase, Cassandra, MongoDB, Cosmos, In-memory, Columnar, other emerging technologies

- Other Languages Java, Python, Scala, R

- Build Systems TFS, Github

- Ability to integrate tools outside of the core GCP ecosystem.

Certifications :

- GCP Cloud Professional Data Engineer

- GCP Cloud Professional Data Architect

PHYSICAL DEMANDS/WORKING CONDITIONS (Specific statements of physical effort required and description of work environment, e.g., prolonged sitting at CRT. required travel %)

- Prolonged sitting or standing at computer workstations including use of mouse, keyboard, and monitor.

- Requires the ability to provide after-hours support.