Data Architect

2 weeks ago

Delhi, Delhi, India Laksh Consultants Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role & Responsibilities

  • Lead and mentor a team of data engineers, ensuring high performance and career growth.
  • Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
  • Drive the development and implementation of data governance frameworks and best practices.
  • Work closely 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.

Ideal Candidate

  • 12-17 years of experience in software/data engineering, with at least 3+ years in a leadership role and can join in 60 days notice period.
  • 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.
  • Must have spent minimum 3 yrs in each company.

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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