Data Architect

Office Location:
Remote Working

Experience : 10-15 Years

Max Notice Period : 60 Days

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.
- 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.

Perks, Benefits and Work Culture

**Testimonial from a designer**: _'One of the things I love about the design team at Wingify is the fact that every designer has a style which is unique to them. The second best thing is non-compliance to pre-existing rules for new products. So I just don't follow guidelines, I help create them.'_

Pay: ₹11,300,000.00 - ₹15,000,000.00 per year

Application Question(s):

- Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
- Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
- Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
- Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
- Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
- Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
- Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
- Mandatory (Education) - Only IIT colleges
- Mandatory (Company) - B2B SaaS Companies with High data-traffic
- Target Company List - MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle

Work Location: Remote