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Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

About LearnTube: We're a Google-backed AI company in the career-tech space with 30 lakh+ users built by a team of 25. That ratio tells you something about how we work: with real velocity, deep ownership, and zero bloat.

Our cultural pillars aren't posters on a wall. We move fast. We raise the floor. We take ownership of outcomes. We build with head, body, and heart. Every person on this team works closely with the founders, has real influence on what we build, and sees their ideas go live not into a backlog.

If you care about being at one of the few AI startups actually building out of Mumbai, with the backing and the traction to prove it's real, this is a rare seat.

Why This Role Exists:

We'll be direct: our hiring function hasn't kept pace with our growth. Roles have stayed open too long. Pipelines have been too thin. Great candidates have slipped away because we didn't move fast enough or engage deeply enough. We're fixing this, not by tweaking what exists, but by bringing in someone who will rebuild how LearnTube attracts and closes talent.

This is the most leveraged hire we'll make this year. Every person you bring in shapes what this company becomes.

What You'll Actually Do:

Your #1 job is closing exceptional hires (70%):

• Own end-to-end recruitment across product management, engineering, marketing, content, and founder's office roles
• Build pipelines that are 4-5 candidates deep at offer stage not 1-2 and praying
• Proactively source through outbound channels LinkedIn, networks, communities, headhunting not just waiting for inbound applications
• Manage candidates through the entire funnel with speed and care from first message to signed offer
• Partner directly with the founders on every hire; final decisions are made together
• Establish hiring metrics and dashboards so we always know where every role stands
• Work with external recruiters when needed and manage them effectively

You'll also own core HR operations:

• Onboarding and offboarding
• Payroll coordination, attendance and leave management
• Performance review cycles and regular check-ins
• Employee engagement and being the first point of contact for people matters

As we grow, we'll bring in more support for the ops side. Right now, hiring is the priority and everything else comes second.

What Makes This Role Different:

• Founder partnership, not delegation. You won't be throwing resumes over a wall. Our founders personally source candidates, pitch roles, and show up in final rounds. You'll have a co-founder in the trenches with you.
• Full ownership from day one. The systems, the processes, the sourcing playbook, the candidate experience you build it your way. We care about outcomes, not methods.
• You'll shape the company. LearnTube is a lean team. Every hire is felt.
• Equity in what you're building. This role comes with stock options because we believe the person building our team should have a stake in what that team creates.

You Might Be Right For This If:

• You've personally closed hires for hard-to-fill roles, not just processed applications
• You build pipelines with depth and redundancy, not single-threaded funnels
• You've worked in a startup or high-growth environment where things moved fast and you had to figure it out yourself
• You can source proactively, you don't wait for candidates to come to you
• Candidates you've placed would say you were the best recruiter they ever worked with
• You treat recruitment as a craft, not as a stepping stone to something else
• You're comfortable with ambiguity, intensity, and building from scratch

Other Details:

• Experience: 3–6 years in talent acquisition, HR, or people roles. Startup experience strongly preferred.
• Location: Mumbai (in-office)
• Reporting to: Founders directly

• 5+ years of experience working with MySQL Databases, including the community edition
• Advanced understanding of Linux OS
• Can use SSH to connect to remote systems with password & public/private keys
• Deep understanding of systems performance
• Understand automation concept to speed up the work: Ansible
• Advanced knowledge on InnoDB internals
• Expert knowledge of Performance Schema
• Knows how to optimize queries/schemas
• Deep understanding of replication and clustering
• Knows backup solutions and strategies
• Knows HA solutions and strategies
• Knows proxy usage as it relates to MySQL
• Designs and executes overall database architecture strategy, standards and practices.
• Works closely with project teams to develop data models that support business processes.
• Works with application development to ensure database changes adhere to best practices and are properly prioritized and scheduled.
• Supports all areas of the enterprise - ensures that all databases run at optimal performance
• Proactively identifies and troubleshoots databases performance issues
• Ensures that industry wide security standards are properly implemented

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred

We're looking for Senior Node js backend developers with over 2+ years of experience and strong expertise in Javascript based development using Node js and Express. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing Node js based backends and APIs using a microservice architecture.

Bonus Skill : Experience with ReactJs, Postgres

We would prefer candidates who can join immediately or are currently serving their notice period.

Key Skills Required

1. A passion for Javascript based solutions and an extremely strong understanding of JavaScript

2. Proficiency in Node js and Express based development

3. Stong experience in building scalable REST APIs

4. Experience in implenting API security using tokens, encryptions keys and other methods

5. A proved history of building scalable and secure web applications and APIs with Node js using a microservice architecture

6. Working experience with API Gateways

7. Experience with Docker

8. Experience in maintaining code via Git workflows

9. Ability to work independantly or as a part of a team

10. Ability to work in an Agile environment

Responsibilities

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge

2. Building high quality code using coding standards based on the SRS/Documentation

3. Building component based, maintainable, scalable and reusable backend libraries/modules.

4. Building & documenting scalable APIs on the Open Spec standard

5. Unit testing development modules and APIs

6. Conducting code reviews to ensure that the highest quality standard are maintained

7. Securing backend applications and APIs using industry best practices

8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.

9. Optimizing code

10. Building and deploying the applications