Business Development Executive

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.

Job Title: Regional Sales Manager – East

Location: Kolkata (Base Location)

Reporting To: National Sales Manager (NSM)

Male candidates only

About the Company:

A fast-growing, innovation-driven organization in the medical equipment industry, dedicated to developing cutting-edge diagnostic technologies that enhance accessibility and efficiency in healthcare. The company offers advanced, affordable solutions such as smartphone-powered microscopes and AI-assisted diagnostic tools used widely across hospitals, laboratories, and clinics.

Role Overview:

We are looking for a result-oriented and dynamic Regional Sales Manager – East (Male Candidates Only) to lead and expand sales operations across the Eastern region of India. The role involves driving sales growth, managing the regional team, and strengthening relationships with key stakeholders in the medical and diagnostic ecosystem.

Key Responsibilities:

• Manage and grow sales operations across West Bengal, Odisha, Bihar, Jharkhand, Assam, and other North-Eastern states.
• Develop and implement effective regional sales strategies to achieve and exceed business targets.
• Identify new business opportunities and expand the distributor/dealer network.
• Lead, mentor, and motivate the regional sales team for maximum productivity.
• Build and maintain strong relationships with doctors, lab managers, hospitals, and distributors.
• Track market trends, competitor activities, and provide market intelligence to the NSM.
• Represent the company at regional exhibitions, trade shows, and marketing events.

Requirements:

• Bachelor’s degree in Science, Pharmacy, Biomedical, or a related field (MBA preferred).
• 4–6 years of experience in medical device or diagnostic sales, including 2–3 years in a managerial role.
• Must have prior experience in the medical equipment or diagnostic industry.
• Proven leadership, communication, and negotiation skills.
• Strong understanding of the Eastern Indian healthcare market.
• Willingness to travel extensively across the assigned region.

Perks & Benefits:

• Competitive salary + performance-based incentives
• Travel allowance and expense reimbursement
• Continuous learning and professional development
• Opportunity to work with cutting-edge diagnostic technologies in a high-growth organization
• 6 working days per week
• Target-based role

Capture and edit school events, promotional content, and educational materials as a Video Production & Editing Intern. This role allows you to enhance your skills in videography and post-production.

Benefits:

● Hands-on experience in video editing and production

● Opportunity to create promotional content

● Portfolio-building for future career prospects

Key Responsibilities:

✔ Shoot and edit videos for school events and branding

✔ Develop promotional videos for digital marketing

✔ Work with the media team to enhance video content

Requirements:

● Experience with video editing software (Premiere Pro, Final Cut Pro, etc.)

● Creativity and storytelling ability

RESPONSIBILITIES:

Lead and grow a world-class Ad Engineering team through mentorship and guidance and career development

Lead partnerships with Product Engineering, define interfaces with 3rd party direct integrators, and Data Engineering teams to find the optimal way to scale the Ad Platform

Collaborate with other Engineering and Product teams to ensure high degree of alignment, ruthless prioritization, timely releases of features in support of critical company initiatives

Constantly strive to improve the efficiency of our existing systems while pursuing transformative technologies that impacts the Platform’s performance

Work closely with Recruiting to expand the team, including sourcing candidates,

interviewing candidates, participating in conferences/events and on-boarding new employees

Develop and drive long-term strategies around utilizing ecosystem, including the Ads system as/when relevant

REQUIREMENTS:

Bachelor’s degree in Computer Science, Electrical Engineering or a related field

4+ years experience leading and managing teams within an engineering organization

2+ years leading and managing Ad Systems

Superb communication and interpersonal skills

Excellent presentation skills

Headquartered in Bangalore, our client is the world's first cross-border neobank that focuses on credit and banking requirements of those migrating from India to the US. This revolutionary startup helps you apply for a bank account and a high-limit credit card with minimal documentation and absolutely no application fee while you are still in your home country.

The company is truly simplifying the financial world by making global financial products easily accessible to global citizens. Their mission is backed by tier 1 VCs and they have already raised in excess of 55 mn dollars within the last one year.

As a Senior Product Manager, you will be responsible for managing and taking ownership of product end to-end including defining scope, developing requirements and product launch.

• Analysing customer needs/markets, competitive offering and user requirements in depth
• Coordinating with various functions to ensure product roll-out within defined timelines, understanding product priorities and implementing a product governance framework
• Conceptualizing innovative features, designing wireframes/ prototypes and documenting PRDs to enhance app usability
• Working collaboratively with various teams including marketing, business, UX, customer support and engineering teams etc.

What you need to have:

• MBA/ B.E from Tier 1 Colleges (IIM/ ISB/ IIT/ BITS)
• 8+ years of B2C product experience at a product company
• Prior experience in tech roles is a plus
• Comfort diving into data and deriving tangible insights
• Proven track record of shipping several high impact features end-to-end
• Fintech experience is a plus
• Prior startup experience is a plus    

• Previous working experience as a MERN/MEAN  Stack Developer for 1 year (Minimum).
• In depth knowledge of NodeJS, ExpressJS or Restify
• Experience implementing applications using Angular 2+ versions or React
• Experience creating front end applications using HTML5, Angular/React, LESS/SASS
• Hands on experience with JavaScript
• Development on both client and server-side
• Experience on Angular 2+  and React Js will be an plus point
• Experience on both MEAN/MERN Technologies will be an advantage.