Branch Manager - Sales

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.

We are seeking a seasoned Engineering, Senior Manager (M3 Level) to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals.

Responsibilities:

Technical Leadership:

• Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices.

• Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code.

• Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications.

• Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot).

• Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence.

• Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. • Understand CI/CD pipelines from build, test, to deploy phases.

Team Management:

• Lead and manage a team of software engineers, fostering a collaborative and highperformance environment. Conduct regular performance reviews, provide feedback, and support professional development.

• Foster a culture of service ownership and enhance team engagement.

• Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches.

• Promote a growth mindset, understanding and driving organizational change.

• Actively seek opportunities for team growth and cross-functional collaboration.

• Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production.

Minimum Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • 11+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. • Proven track record of leading and delivering large-scale, complex software projects. • Deep expertise in one or more programming languages such as Python, Java, JavaScript. • Extensive experience with software architecture and design patterns. • Strong understanding of cloud technologies and DevOps principles. • Excellent problem-solving skills and attention to detail. • Excellent communication and leadership skills, with a demonstrated ability to influence and drive chang

JOB RESPONSIBILITIES

1) Lead a team of 6-10 Product Managers and Design team members to build cutting-edge Vision products for the AI Cataloging space.

2) Create a world-class Self Serve SaaS Product experience with data analysis at its center.

3) Lead the Web, Mobile and API experience of the AI product stack.

4) Talk to users - Large and Small to better understand their needs and motivations.

5) Project management to align the technology team and ship products.

6) Stay up to date with the latest research in Computer vision and best product practices and bring the most important features

7) Prioritization and Roadmap Management, Work alongside all stakeholders to represent a true picture of priorities and future initiatives.

8) Diving deeper into the data to identify opportunities and learnings.

JOB REQUIREMENTS

1) BTech/MBA degree in Computer Science, Engineering, or a related subject from a Tier-1 institute (Mandate)

2) 3+ years of experience leading Product team in high growth Product companies

3) 5+ years of Product Management experience in growth startups or Product companies

4) Extremely self-motivated and autonomous. You'll be given direction but it's on you to figure out how to proceed.

5) Analytical. You should have plenty of experience looking at the data to inform your decisions.

6) Strong product intuition. You need to have an informed opinion to build a product from scratch.

7) Systems thinker. You should understand how even the smallest change affects the entire system.

8) Super detail-oriented. Small errors or oversights should jump off the screen for you.

9) Team champion. We're serious about our work, but that doesn't mean we can't have fun together. :)


Education Mandatory: IIM, IIT, BITS

• Ensure correct and timely reporting
• Collaborating with another department
• Create and give presentations
• Help managers in evaluating performance (e.g. writing reports, analyzing data)
• Understand each department’s (e.g. Marketing, Sales, QA, Development, PMs & Operations) daily processes and goals
• performance tracking; ensure regular monitoring and report on plan vs. actual performance
• escalate possible issues on time
• Present updates to senior management
• Assist with the management of the project life cycle from inception to final delivery sign-off
• Provide an active role and use critical judgment in the development of all project deliverables
• Assist Project Manager (PM) to ensure project requirements, standards, and documentation are followed
• Assist PM with reporting on the project status and health

Job Description:

• Min 4-5 years of experience in Mobile application development
• Min 2-year Experience in React Native app development
• Firm grasp of the JavaScript and TypeScript language and its nuances, including ES6+ syntax
• Follow best practices using Android Guidelines
• Knowledge of functional or object-oriented programming
• Technically strong in React-Redux/Mobx development and deep understanding of core mobile concepts such as lifecycle, UI, networking, caching, device features, etc
• Experiences with automated testing suites, like Jest or Mocha
• Experience integrating third-party frameworks. Worked with logging and capturing user navigation and app usage to Analytics and Crashlytics for understanding the most used features by users.
• Knowledge of mobile security and cryptography is an advantage.
• Good working knowledge of tools such as Git, JIRA, Jenkins, or any tools that are similar to these.
• Experience with agile methodology is preferred
• Good communication skills
• Good knowledge of app telemetry integration & app performance management
• Have published at least 2 React Native apps on Play Store & Appstore

• Implement robust app architectures and complex user interfaces
• Component Design and coding new features. includes unit tests, debugs, and solves defects
• Component Design/Coding/Unit Testing/Debugging
• Responsible for designing app architecture and integration design to various external systems (APIs, 3rd Party SDK)
• Follow best practices using React Native Guidelines
• Understand reacting design patterns like HOC, Render Props, and their applications.
• Good understanding of atomic design principles
• Experience with CSS-in-js / styled-components
• Good understanding of Android & iOS working principles, Release process
• Ability to multi-task under pressure and work independently with minimal supervision
• Work on high-performance consumer-facing apps
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Good understanding of server-side templating languages (such as jade, EJS, and pug).
• Creating database schemas that represent and support business processes.
• Implementing automated testing platforms and unit tests.
• Basic understanding of front-end technologies, such as HTML5, SCSS, and CSS3.
• Ability to make recommendations on UI design and UX best practices.