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VP - Data Architect (B2B SaaS)
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VP - Data Architect (B2B SaaS)
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VP - Data Architect (B2B SaaS)

at Software Company

Agency job
12 - 17 yrs
₹50L - ₹140L / yr
Delhi
Skills
Data engineering
Apache Spark
Apache Kafka
Java
Python
NodeJS (Node.js)
HDFS
Redis
AZURE

MANDATORY:

  • Super Quality Data Architect, Data Engineering Manager / Director Profile
  • Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
  • Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
  • Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
  • Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
  • Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
  • Product Companies (Prefers high-scale, data-heavy companies)


PREFERRED:

  • Must be from Tier - 1 Colleges, preferred IIT
  • Candidates must have spent a minimum 3 yrs in each company.
  • Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company


ROLES & 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:

  • 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.
Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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