Chief Data Infrastructure Engineer

2 weeks ago

Delhi, Delhi, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Architect Job Description

Our team seeks a skilled and experienced Senior Data Architect to lead our data infrastructure initiatives. In this role, you will design and implement scalable data solutions that meet the evolving needs of our organization.

Key Responsibilities:

  • Lead and mentor a team of data engineers to ensure high performance and career growth.
  • Architect and optimize scalable data infrastructure for high availability and reliability.
  • Develop and implement data governance frameworks and best practices.
  • Collaborate with cross-functional teams to define and execute a data roadmap.
  • Optimize data processing workflows for performance and cost efficiency.
  • Ensure data security, compliance, and quality across all data platforms.
  • Foster a culture of innovation and technical excellence within the data team.

Requirements:

  • 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
  • Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
  • Proficiency in SQL, Python, and Scala for data processing and analytics.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
  • Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice.
  • Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
  • Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
  • Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
  • Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
  • Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
  • Proven ability to drive technical strategy and align it with business objectives.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

  • Experience in machine learning infrastructure or MLOps is a plus.
  • Exposure to real-time data processing and analytics.
  • Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
  • Prior experience in a SaaS or high-growth tech company.

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