Vice President - Data Architecture

Description : Mandatory :

Super Quality Data Architect, Data Engineering Manager / Director (Experience 1) : - Must have total 10+ YOE of which 6+ YOE in Data Engineering roles, with at least 2+ years in a Leadership (Experience 2) : - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, (Experience 3) : - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto (Experience 4) : - Strong expertise in HLD and LLD, to design scalable, maintainable data (Team Management) : - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in (Company) : - Product Companies (Prefers high-scale, data-heavy (Education) : - Must be from Tier - 1 Colleges, preferred (Stability) : - Candidate must have spent minimum 3 yrs in each (Experience) : - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Companies :

Hevo Data, Mixpanel, Segment, Zarget, MoEngage, WebEngage, CleverTap, Netcore Cloud, Lemnisk, Vizury, RudderStack, Actyv.ai etc

Job Specific Criteria :

CV Attachment is mandatory

Do you have team leading experience? How many members have you handled in a team?.

Have you setup data engineering for a company from scratch (0 to 1. end to end)? Please share details?

What is the largest data size you have worked on and in which company? Please share detail?

This role requires hands-on coding - are you comfortable with this?

Please provide Current CTC Breakup (Fixed & Variable)

What's your current company ?

As a Lead Data Engineering, you will play a pivotal role in defining the organizations data vision, architecture, and technical direction. This role blends hands-on technical expertise with strategic leadership guiding teams, optimizing infrastructure, and driving innovation. Youll be responsible for building and scaling robust, high-performance data systems that empower business intelligence, analytics, and product decisions across the & Responsibilities :

Lead and Mentor the Data Engineering Team

• Build, manage, and inspire a high-performing team of data engineers. Provide mentorship, conduct regular performance reviews, and design personalized growth paths for each team member. Encourage continuous learning, technical excellence, and collaboration across teams.

Architect and Optimize Scalable Data Infrastructure

Drive Data Governance and Best Practices

Optimize Data Processing Workflows

Foster a Culture of Innovation and Technical Excellence

The ideal candidate is a seasoned engineering leader with a passion for scalable systems, deep technical expertise, and a proven record of leading data-driven & Leadership :

Youll be part of an environment that encourages autonomy, creativity, and innovation. The team believes in breaking conventions, building frameworks from scratch, and questioning traditional boundaries. Every engineer is empowered to think independently, experiment boldly, and contribute meaningfully to both product and technical direction.

(ref : hirist.tech)