Regional Sales Head

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 Summary

We are looking for a Senior SDET with strong expertise in test automation for modern web and backend systems. The ideal candidate should have hands-on experience in frontend, backend, and API automation, along with exposure to distributed systems and cloud-native environments. Golang experience is preferred, though Java candidates willing to learn Golang are welcome.

Key Responsibilities

• Design, develop, and maintain automation test frameworks for frontend and backend systems
• Perform frontend automation using Playwright and Selenium
• Develop and execute API automation tests to validate backend services
• Collaborate with developers to understand system architecture and service interactions
• Ensure test coverage across microservices and distributed systems
• Debug and analyze failures across multiple services and environments
• Integrate automated tests into CI/CD pipelines
• Work closely with DevOps teams to validate deployments in containerized environments

Mandatory Skill Set

• Programming Language: Golang (preferred) or Java (must be willing to learn Golang)
• Frontend Automation: Playwright
• UI Automation: Selenium
• Backend Automation: Strong understanding of backend testing concepts
• API Testing: Hands-on experience with Rest Assured or similar tools
• Strong understanding of API concepts and terminology
• Experience working with distributed systems and microservices
• Containerization: Docker
• Orchestration: Kubernetes
• Experience with CI/CD pipelines
• Strong debugging and problem-solving skills across services

Good to Have

• Experience in cloud environments
• Exposure to performance or security testing
• Knowledge of test data management and mocking frameworks

HUMAN HEROES MANAGEMENT SERVICES PVT. LTD.

JOB DESCRIPTION

Job Title: Business Development Executive:

We are looking for a Business Development Executive to join our team at at Human Heroes Management Services Private Limited. The role requires identifying new business opportunities, building long-lasting client relationships, and driving revenue growth. The ideal candidate for this role must have a passion for sales, excellent communication skills, and a proven record of closing deals.

Key Responsibilities:

Identify and approach potential clients to generate leads and drive sales growth.

company Hunting, company Enplanement, company Tie-Ups.

Present and promote products or services to prospective customers.

Maintain strong relationships with existing clients and motivate them to repeat business.

Prepare and deliver sales pitches tailored to client needs.

Achieve monthly and quarterly sales targets.

Stay informed on market trends and competitor activities.

Collaborate with internal teams (recruitment, training, consulting) to deliver solutions

Prepare reports on sales performance and client feedback.

Build relationships with clients, understand their HR needs, and provide solutions.

Develop and pitch customized HR solutions to potential clients.

Conduct market research to stay updated on industry trends and competitors.

Meet sales targets and contribute to revenue growth.

Job Description (brief):

Looking for an experienced Regional Manager with 4-5 years of B2B sales experience in the education sector (college & school sales) with strong knowledge and network in Madurai region only. Candidate must have deep location awareness of Madurai and proven ability to manage sales in this territory.

Key Requirements:

• 4-5 years experience in B2B sales with colleges & schools
• Based in Madurai region (strictly local candidates only)
• Strong contacts & knowledge of educational institutions in Madurai
• Ability to travel within Madurai area
• Bachelor’s degree minimum

Responsibilities:

• Develop and deploy services to improve the availability, ease of use/management, and visibility of 6sense systems
• Architecting, building, and scaling out our services and infrastructure
• Learning and adopting technologies that may aide in solving our challenges
• Own our systems like our Hadoop and Presto clusters, front/back-end services, build configurations, infrastructure components, deployment of services into our infrastructure, and everything in between
• Write/review/debug production code, develop documentation and capacity plans, and debug live production problems
• Contributing back to open-source projects if we need to add or patch functionality
• Support the overall Software Engineering team to resolve any issues they encounter

Minimum Qualifications:

• 5+ years in a Software Engineering role or equivalent experience
• 1+ years of experience with Linux/Unix system administration and networking fundamentals
• Strong skills in reading code as well as writing clean, maintainable, and scalable code
• Good knowledge of Python and Java
• Experience designing, building, and maintaining scalable services and/or service-oriented architecture
• Experience with high-availability

Bonus Requirements:

• Experience with modern configuration management tools (e.g. Ansible, Chef, Puppet) and idempotency
• Exposure to modern build systems such as Bazel, Buck, or Pants
• Knowledge of the Hadoop ecosystem (e.g. Hadoop, Hive, Presto) including deployment, scaling,
• and maintenance
• Knowledge of standard security practices
• 1+ years of experience working with Kubernetes, Docker
• Good knowledge of Javascript 

passion for all things JavaScript, having built complex single-page applications on React/Redux for at least 2 years.

Profound understanding of HTML, CSS, and browser capabilities to build beautiful, fast and snappy applications.

Comfortable with jest for writing unit and integration tests/puppeteer for e2e tests.

Curiosity to remain updated with the newest technologies and frameworks. Intuition for usability and UI design, with an ability to balance polish with the constraints of timing and scope.

Comfort with any of WebRTC/Backend Stack/React Native is a strong plus.

Most importantly, love coding and debugging gnarly problems!