Data - Senior Engineer
- Iris Software
- 8 - 13 years
- Noida, Gurugram
- 2 months ago
- Email to a friend
- Report this job
Job Description
The Principal Data Engineer will be a senior individual contributor responsible for designing, building, and optimizing advanced data solutions that power enterprise-wide analytics, AI/ML, and data-driven decision-making. Reporting directly to the Senior Director of Data Platforms, this role will serve as a technical expert and thought partner in scaling modern data architectures, enabling AI orchestration, and delivering robust, secure, and compliant data products.
This position is highly hands-on, requiring expertise in data engineering, Databricks, Python, AI/ML platforms, and orchestration frameworks. The Principal Engineer will work across functional teams to design and implement high-performance pipelines, ensure platform reliability, and set technical standards for the organizations data engineering practices.
Job Duties & Responsibilities
- Design & Build Data Systems: Architect and implement scalable data pipelines, lakehouse/lake/warehouse environments, APIs, and orchestration workflows to support analytics, AI/ML, and business intelligence.
- Enable AI & ML at Scale: Partner with Data Science and AI teams to productionize ML models, automate workflows, and enable AI orchestration frameworks (e.g., MLflow, Airflow, Databricks workflows).
- Technical Leadership: Act as a hands-on subject matter expert in Databricks, Python, Spark, and related technologiesdriving adoption of best practices and mentoring other engineers.
- Optimize Performance: Ensure data pipelines and platforms are highly available, observable, and performant at scale through monitoring, automation, and continuous improvement.
- Ensure Compliance & Security: Build solutions that adhere to data governance, privacy, and regulatory frameworks (HIPAA, SOC 2, GCP, GDPR) within clinical research, life sciences, and healthcare contexts.
- Collaborate Across Functions: Work closely with platform engineering, analytics, product management, and compliance teams to deliver aligned solutions that meet enterprise needs.
- Advance Modern Architectures: Contribute to evolving data platform strategies, including event-driven architectures, data mesh concepts, and lakehouse adoption.
Location
This role is open to candidates working in the United States (remote or hybrid).
Basic Qualifications
- Bachelors degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
- 8+ years of data engineering experience in designing, implementing, and optimizing large-scale data systems.
- Strong proficiency in Python, with production-level experience in building reusable, scalable data pipelines.
- Hands-on expertise with Databricks (Delta Lake, Spark, MLflow), and modern orchestration frameworks (Airflow, Prefect, Dagster, etc.).
- Proven track record of deploying and supporting AI/ML pipelines in production environments.
- Experience with cloud platforms (AWS, Azure, or GCP) for building secure and scalable data solutions.
- Familiarity with regulatory compliance and data governance standards in healthcare or life sciences.
Preferred Qualifications
- Experience with event-driven systems (Kafka, Kinesis) and real-time data architectures.
- Strong background in data modeling, lakehouse/lake/warehouse design, and query optimization.
- Exposure to AI orchestration platforms and generative AI use cases.
- Contributions to open-source projects or published work in data engineering/ML.
- Agile development experience, including CI/CD, automated testing, and DevOps practices.
Mandatory Competencies
Tech - Agile Methodology
Data Science and Machine Learning - Data Science and Machine Learning - Gen AI
Big Data - Big Data - SPARK
DevOps/Configuration Mgmt - Cloud Platforms - AWS
DevOps/Configuration Mgmt - Cloud Platforms - GCP
Data Science and Machine Learning - Data Science and Machine Learning - Databricks
Database - Database Programming - SQL
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Iris SoftwareLocation(s): Noida, Gurugram+ View Contact
Keyskills: spark python data pipelines generative ai data engineer ai databricks cloud platforms warehouse data engineering healthcare cloud use cases regulatory life sciences data systems data governance azure ml
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Iris Software
Jaya-Signature Visas, Munirka, New Delhi \r\nPhone:+91-9911709888\r\nEmail:jaya@signaturevisas.com
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in