Senior Databricks Data Engineer

Posted 15 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Insurance • Consulting
So many people use our platform
The Role
Design, build, and optimize enterprise-scale data pipelines and real-time streaming solutions using Databricks, Spark, Kafka, Delta Lake, Python, and cloud platforms (Azure/AWS). Implement data architectures, integrate SQL/NoSQL systems, apply governance and performance best practices, and operate containerized microservices on Kubernetes.
Summary Generated by Built In
Description

Senior Databricks Data Engineer

About the Role

We are seeking an experiencedMicrosoft Power Platform Solution Architect & Developer

NYC

to join our growing data and analytics team. This role is ideal for a highly skilled data professional with deep expertise in Databricks, Spark, Kafka, Python, and cloud technologies who can design, build, and optimize enterprise-scale data platforms and real-time data processing solutions.

The successful candidate will bring strong hands-on experience in modern data engineering, distributed computing, cloud-native architectures, and large-scale data integrations.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks and Python.
  • Build, optimize, and support high-performance Apache Spark applications for batch and real-time data processing.
  • Develop and manage Kafka-based streaming solutions for real-time data ingestion and processing.
  • Design and implement data architectures leveraging Delta Lake and open table formats.
  • Deploy, monitor, and manage data solutions across Azure and/or AWS cloud platforms.
  • Develop and maintain integrations with SQL and NoSQL databases.
  • Partner with data architects, developers, business stakeholders, and cross-functional teams to deliver scalable data solutions.
  • Implement data quality, governance, security, and performance optimization best practices.
  • Contribute to the design and development of microservices-based architectures supporting modern data platforms.
  • Work within containerized environments using Kubernetes (K8S) and cloud-native technologies.

Required Qualifications

  • 10+ years of experience in Data Engineering, Data Platform Development, or a related field.
  • Strong hands-on experience with Databricks and Delta Lake.
  • Deep expertise in:
  • Apache Spark
  • Apache Kafka
  • Python
  • SQL and NoSQL databases
  • Open table formats and modern data lake architectures
  • Experience with Azure and/or AWS cloud platforms.
  • Strong knowledge of Java development and microservices architecture.
  • Hands-on experience with Kubernetes (K8S) and containerized applications.
  • Experience designing and supporting large-scale, enterprise-grade data solutions.

Preferred Qualifications

  • Experience working in Agile/Scrum environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Experience building real-time streaming and event-driven architectures.
  • Knowledge of data governance, data quality, and security best practices.

What We Offer

  • Competitive compensation and comprehensive benefits package.
  • Opportunity to work with cutting-edge cloud and data technologies.
  • Challenging, high-impact projects in a collaborative environment.
  • Professional growth and career development opportunities.
  • Exposure to large-scale enterprise data modernization initiatives.

Location: Flexible / Hybrid / Remote

Experience Level: Senior (10+ Years)

Employment Type: Full-Time

🚀 Why Join Us?

You’ll work with a talented global team, contribute to meaningful technical initiatives, and help shape a high‑performing DevOps culture.

Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com

Skills Required

  • 10+ years of experience in Data Engineering or related field
  • Hands-on experience with Databricks
  • Experience with Delta Lake
  • Apache Spark expertise
  • Apache Kafka expertise
  • Python programming
  • SQL and NoSQL database experience
  • Experience with open table formats and modern data lake architectures
  • Experience with Azure and/or AWS cloud platforms
  • Strong knowledge of Java development and microservices architecture
  • Hands-on experience with Kubernetes (K8S) and containerized applications
  • Experience designing and supporting large-scale, enterprise-grade data solutions
  • Experience working in Agile/Scrum environments
  • Experience building real-time streaming and event-driven architectures
  • Knowledge of data governance, data quality, and security best practices
  • Strong analytical, troubleshooting, and stakeholder management skills
Am I A Good Fit?
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The Company
HQ: Herzliya
37 Employees
Year Founded: 2000

What We Do

Matrix Global Services is an award-winning Insurance and Financial Advisory. Matrix delivers a unique portfolio of Insurance products and services that enable investors to access finance and to de-risk and enhance the security of their investments, through the application of proprietary insurance solutions that adjust and reduce risk. Matrix is an outcome led, insurance market solutions provider, the solutions that we create and deploy, credit enhance all types of complex transactions, enabling the efficient flow of global capital. The Matrix team possess an in-depth knowledge of, and strong and established connections to, the global markets for Insurance & (re)Insurance; we blend these capabilities with Financial and Capital Markets expertise, to assist our international clients with navigating complexity and opportunity. Within the M&A community, our specialists provide independent Insurance Due Diligence, insurance programme design and reconstruction, W&I Insurance and supporting transactional solutions that provide our M&A clients with assurance whilst also adding tangible value within the investment life cycle

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