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Lead Data Engineer

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.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

Experience & Relevance 

• Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads.
• Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO’s business vision into a Lead Engineer’s technical specification without losing anything in translation.

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.

The candidate must have at least 5+ years of experience in B2B SaaS or enterprise technology sales from overall experience.

* US enterprise sales experience is preferred, with strong exposure to US enterprise sales cycles.

* The candidate must have deep experience in enterprise sales, handling large, complex, multi-stakeholder deals.

* The candidate must have driven $5M+ in annual enterprise revenue (preferably $10M+).

* The candidate must have 2+ years of people leadership experience.

* The candidate must have managed a sales team of 10+ members, including AEs and SDRs.

* The candidate must have hands-on experience building, executing, and scaling sales strategies.

* The candidate must have experience managing both inbound and outbound sales motions.

* Background in cybersecurity, deep tech, or complex technical products is preferred.

* Experience with VAR, multi-product, or consultative enterprise sales is a plus.

* The candidate must be comfortable leading revenue across global regions, with the US as the primary focus.

* The candidate must be based in Bangalore or willing to relocate.

Job Type : Contract

Location : Bangalore

Experience : 5+yrs

The role focuses on cloud security engineering with a strong emphasis on GCP, while also covering AWS and Azure.

Required Skills:

• 5+ years of experience in software and/or cloud platform engineering, particularly focused on GCP environment.
• Knowledge of the Shared Responsibility Model; keen understanding of the security risks inherent in hosting cloud-based applications and data.
• Experience developing across the security assurance lifecycle (including prevent, detect, respond, and remediate controls)?Experience in configuring Public Cloud native security tooling and capabilities with a focus on Google Cloud Organizational policies/constraints, VPC SC, IAM policies and GCP APIs.
• Experience with Cloud Security Posture Management (CSPM) 3rd Party tools such as Wiz, Prisma, Check Point CloudGuard, etc.
• Experience in Policy-as-code (Rego) and OPA platform.
• Experience solutioning and configuring event-driven serverless-based security controls in Azure, including but not limited to technologies such as Azure Function, Automation Runbook, AWS Lambda and Google Cloud Functions.
• Deep understanding of DevOps processes and workflows.
• Working knowledge of the Secure SDLC process
• Experience with Infrastructure as Code (IaC) tooling, preferably Terraform.
• Familiarity with Logging and data pipeline concepts and architectures in cloud.
• Strong in scripting languages such as PowerShell or Python or Bash or Go.
• Knowledge of Agile best practices and methodologies
• Experience creating technical architecture documentation.? Excellent communication, written and interpersonal skills.
• Practical experience in designing and configuring CICD pipelines. Practical experience in GitHub Actions and Jenkins.
• Experience in ITSM.
• Ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with risk control frameworks and engagements with risk and regulatory functions
• Experience in the financial industry would be a plus.

Expected Scope of work / Responsibilities:

Support as process expert for designing the process template in managing the SAP projects

General Requirements:

•    Implementation Experience: Minimum of two end-to-end SAP EWM implementations.

•    Support Experience: At least two projects involving post-go-live support or full-time support roles.

•    Rollout Experience: Understanding of template rollout methodologies.

•    Integration & Interface Expertise: Hands-on experience with IDOCs, CIF, RFC for setup and issue resolution.

•    Solution Design: Ability to translate customer requirements into EWM solutions effectively.

Technical Expertise (6–10 years):

•    EWM Versions: Experience in SAP EWM 9.5 and S/4HANA Embedded EWM, with at least one year in S/4HANA.

•    Functional Specifications: Ability to prepare Functional Specs for EWM developments.

•    EWM-ERP Integration: Expertise in EWM-ERP integration setup and configuration.

•    EWM Features: Must have hands-on experience with all mandatory EWM features (as per provided reference).

•    Nice to Have: Knowledge of Value-Added Services (VAS) and Automated Warehouse processes.

Process Knowledge & Experience:

•    Inbound, Outbound, Warehousing, and Packaging: Must be strong in at least one process area, with good knowledge of the other three.

o    Definition of "Strong": Ability to list worked-on processes, explain customer requirements, and describe how the process meets business needs.

•    Process Variants: Understanding of process variations for different business scenarios.

•    EWM Production Integration: Good knowledge of production replenishment processes and integration features.

Industry Expertise:

•    Auto/Manufacturing Industry: Minimum two years of experience working in EWM within automotive or manufacturing industries.

Role Overview:

•    Position: Customer-Facing SAP EWM Functional Consultant.

•    Function: Serve as a Process Solution Expert, supporting Plant Users in addressing queries and issues.

Key Responsibilities:

•    Customer Engagement:

o    Conduct gap analysis and identify new business requirements.

o    Collaborate with the Process Responsible team to develop new solutions.

•    User & Process Support:

o    Assist Plant Key Users & Plant Users in testing phases (Unit, Integration, UAT).

o    Support data migration activities (Test Migration, Productive Migration).

o    Conduct training sessions for Key Users.

o    Provide Hypercare Support post go-live.

o    Troubleshoot defects during testing and post-go-live phases.

Certifications (Preferred):

•    SAP EWM Certification with knowledge of:

o    Embedded EWM

o    Decentralized EWM

•    Optional: SAP WM Certification

Soft Skills & Competencies:

•    Strong verbal and written communication skills in English.

•    Ability to troubleshoot and resolve issues independently.

•    Proficiency in MS Office (Excel, PowerPoint, etc.).

•    Strong collaboration skills to work with internal and external customers effectively.

Travel Requirements:

•    Willingness to travel for short-term business trips (up to 4 weeks) domestically and internationally.

Nice to Have:

•    Exposure to SAP Transportation Management (SAP TM).

We are seeking applications for a Senior Technical Architect of .NET for our client, a leading Fintech in the lending domain.

As a strong tech leader, you will lead development activities across multiple enterprise projects.

Role & Responsibilities:

 Solve complex problems and produce the highest quality code.

 Work closely with both external clients and internal, cross-functional product and technical teams to support multiple projects.

 Maintain technical design documentation, communicating architectural and design changes to development teams

 Conduct regular design and code reviews, establishing and publishing quality and performance metrics

 Manage and foster a team-oriented environment, providing technical oversight to team members

Skills & Qualifications:

 10+ years of professional experience on .NET framework 4x

 Solid understanding and experience with Object-Oriented design & development

 Excellent hands-on C# coding skills

 Experience working with ASP.NET MVC, Entity Framework, LINQ, NoSQL, Message Queue, and building Reusable Libraries

 Should possess SQL Server database skills to design new or alter existing table structures as per the requirements

 Exposure in building web-based applications

 Should have worked on a complex enterprise business application in a product-based IT company and/or banking and financial services company

 Data-driven, analytical approach to problem-solving and project management

 Working experience with Agile methodologies.

What will I be doing? 👩💻👨💻

1. You will be owning features through inception, design feedback, implementation, and launch. This will include building test plans for new features and improvising on existing test plans for feature updates and customer feedback.
2. You will collaborate with Product Designers, Product Managers, Backend Engineers, Data Engineers, and Customer Support
3. You will identify areas for automation and writing automated tests to ensure repeatability, coverage, reliability, and catching regressions.

What do I need? 🤓

1. Strong quality sense and experience working closely with web/mobile development teams
2. Excellent communication skills and passion for tough technical problems
3. Attention to detail and voice of customer experience
4. Experience automating end to end UI tests for mobile and web apps
5. Experience in championing customer feedback post-launch and bringing it to the attention of relevant teams
6. Bachelor's degree in Computer Science, Engineering or a related field or equivalent training, fellowship, or work experience

Brownie points 🍰

1. Understanding of the importance of test plans and how to approach writing informative bug reports

Feel free to apply even if you feel unsure about whether you meet every single requirement in this posting. As long as you're a quick learner, and are excited about changing the status quo for tech recruitment, we're happy to support you as you come up to speed with our tech stack.

• Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
• Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
• Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
• Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
• Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
• Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
• Analyse large amounts of information to discover trends and patterns
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\

• Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
• 2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
• Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
• Good understanding of AWS ecosystem for big data analytics
• Hands on experience in creating data pipelines either using tools or by independently writing scripts
• Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
• Strong problem solving skills with an emphasis on product development.
• Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)