Data Architecture Lead

3 weeks ago

Bengaluru, Karnataka, India Carrier Full time

Job Title: Data Architecture Lead

Job Summary:

We are seeking a Data Architecture Lead to drive the design, development, and implementation of our data integration and AI/ML platforms. This role will oversee the architecture and engineering efforts for a data-driven infrastructure that leverages Nexla, Dataiku, and AWS to support our data pipelines, machine learning models, and analytics capabilities.

Key Responsibilities:

  • Lead the design and architecture of the data integration platform using Nexla, Dataiku, and AWS.
  • Manage and mentor a team of engineers, ensuring high-quality delivery of platform components and solutions.
  • Oversee the end-to-end implementation of data pipelines, from data ingestion to transformation and modeling, ensuring scalability, security, and performance.
  • Collaborate with data scientists, data engineers, and product teams to develop and deploy machine learning models and analytics using Dataiku.
  • Ensure efficient use of AWS cloud resources (EC2, Lambda, S3, Redshift, etc.) to optimize data workflows, machine learning tasks, and infrastructure costs.
  • Establish best practices for platform architecture, monitoring, and operational excellence.
  • Drive innovation by researching and implementing emerging technologies and methodologies that can improve the efficiency and performance of the platform.
  • Monitor the performance of platform services and provide recommendations for optimization and improvements.
  • Communicate technical concepts to stakeholders and work closely with leadership to align on strategic goals.

Requirements:

  • 8+ years of experience in platform architecture, engineering, or a similar technical leadership role.
  • Proven experience with Nexla, Dataiku, and AWS (S3, Redshift, EC2, Lambda, etc.), including designing and scaling data integration and machine learning platforms.
  • Strong background in data engineering, data pipelines, and cloud architecture.
  • Proficiency in building and deploying machine learning models in production environments.
  • Experience with leading and managing engineering teams, providing technical direction, and ensuring high-quality execution.
  • Expertise in cloud infrastructure management, including cost optimization, performance monitoring, and security.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Hands-on experience with programming languages like Python, Java, or Scala.
  • Knowledge of DevOps, CI/CD processes, and infrastructure-as-code (e.g., Terraform, CloudFormation) is a plus.
  • Strong problem-solving skills and the ability to drive technical decisions in a fast-paced environment.
  • A bachelor's or master's degree in Computer Science, Engineering, or a related field.

Benefits:

  • We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
  • Have peace of mind and body with our health insurance
  • Make yourself a priority with flexible schedules and leave Policy
  • Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.

About Us:

Carrier is a global leader in intelligent climate and energy solutions. We are committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

Our Commitment:

We strive to provide a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork, and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback, and always challenging ourselves to do better. This is The Carrier Way.

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