Data Architect - Big Data Technologies

Must Have :

- Must have 10+ 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 recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

- 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 atleast 5+ Data Engineers

- Must be from Tier - 1 Colleges, preferred IIT

- B2B Product Companies with High data-traffic

Role & Responsibilities :

- 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 :

- 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 :

- 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.