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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.

To manage the overall operations and sales performance of the interior design and home décor store. The Stores Sales Manager is responsible for achieving sales targets, ensuring excellent customer experience, supervising the design consultants and sales team, and maintaining the brand’s premium standards in store presentation and service.

Key Responsibilities:

1. Sales & Revenue Management

• Achieve monthly and quarterly sales targets for the store.
• Drive conversion rates by ensuring strong customer engagement and effective product presentation.
• Monitor sales trends and customer preferences to suggest improvements in product mix and display.
• Implement promotional campaigns and sales strategies to boost revenue.

2. Team Leadership & Performance

• Supervise, train, and motivate the sales and design consultant team to deliver high-quality service.
• Conduct daily briefings and set individual sales goals.
• Monitor staff performance and provide regular feedback and coaching.
• Ensure proper shift scheduling and adequate manpower coverage.

3. Customer Experience & Service Excellence

• Ensure every customer receives professional interior design consultation and personalized service.
• Handle escalations or special client requests efficiently.
• Maintain client relationships for repeat and referral business.
• Oversee post-sales follow-ups, installation coordination, and satisfaction feedback.

4. Store Operations & Visual Merchandising

• Maintain store ambience, layout, and visual display standards as per brand guidelines.
• Ensure accurate stock management and inventory control.
• Coordinate with logistics and warehouse teams for product deliveries and replenishments.
• Ensure store cleanliness, safety, and maintenance compliance.

5. Reporting & Coordination

• Prepare daily, weekly, and monthly sales reports.
• Track key performance metrics (footfall, conversion, average ticket size, etc.).
• Collaborate with marketing, design, and operations teams for smooth execution of campaigns and projects.
• Provide feedback to management on market trends, competitor activity, and customer insights.

Qualifications & Experience:

• Bachelor’s degree in Business Administration, Interior Design, Marketing, or related field.
• 5–8 years of retail sales experience, preferably in interior design, home décor, furniture, or luxury retail.
• Proven experience in managing store teams and achieving sales targets.
• Strong understanding of interior design products and customer consultation process.

Key Skills Required:

• Excellent communication and interpersonal skills.
• Strong leadership and team management abilities.
• Customer-centric mindset with focus on quality service.
• Sales-driven and result-oriented approach.
• Good knowledge of visual merchandising and store operations.
• Proficiency in MS Office and CRM software.

Performance Indicators (KPIs):

• Monthly sales achievement vs. target.
• Conversion rate and average ticket value.
• Customer satisfaction and feedback ratings.
• Store presentation audit score.
• Employee productivity and retention.

Role - ETL Developer

Work Mode - Hybrid

Experience- 4+ years

Location - Pune, Gurgaon, Bengaluru, Mumbai

Required Skills - AWS, AWS Glue, Pyspark, ETL, SQL

Required Skills:

• 4+ years of hands-on experience in MySQL, including SQL queries and procedure development
• Experience in Pyspark, AWS, AWS Glue
• Experience in AWS ,Migration
• Experience with automated scripting and tracking KPIs/metrics for database performance
• Proficiency in shell scripting and ETL.
• Strong communication skills and a collaborative team player
• Knowledge of Python and AWS RDS is a plus

Design, develop and maintain robust test automation frameworks for financial applications

 Create detailed test plans, test cases, and test scripts based on business requirements and user stories

 Execute functional, regression, integration, and API testing with a focus on financial data integrity

 Validate complex financial calculations, transaction processing, and reporting functionalities

 Collaborate with Business Analysts and development teams to understand requirements and ensure complete test coverage

 Implement automated testing solutions within CI/CD pipelines for continuous delivery

 Perform data validation testing against financial databases and data warehouses

 Identify, document, and track defects through resolution using defect management tools

 Verify compliance with financial regulations and industry standards

1.       Strong knowledge in Front end scripting like EJS, JavaScript, Jquery

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.

What are we looking for:

1. Strong experience in MySQL and writing advanced queries
2. Strong experience in Bash and Python
3. Familiarity with ElasticSearch, Redis, Java, NodeJS, ClickHouse, S3
4. Exposure to cloud services such as AWS, Azure, or GCP
5. 2+ years of experience in the production support
6. Strong experience in log management and performance monitoring like ELK, Prometheus + Grafana, logging services on various cloud platforms
7. Strong understanding of Linux OSes like Ubuntu, CentOS / Redhat Linux
8. Interest in learning new languages / framework as needed
9. Good written and oral communications skills
10. A growth mindset and passionate about building things from the ground up, and most importantly, you should be fun to work with

As a product solutions engineer, you will:

1. Analyze recorded runtime issues, diagnose and do occasional code fixes of low to medium complexity
2. Work with developers to find and correct more complex issues
3. Address urgent issues quickly, work within and measure against customer SLAs
4. Using shell and python scripts, and use scripting to actively automate manual / repetitive activities
5. Build anomaly detectors wherever applicable
6. Pass articulated feedback from customers to the development and product team
7. Maintain ongoing record of the operation of problem analysis and resolution in a on call monitoring system
8. Offer technical support needed in development

Job Description:

Looking for engineers with one of the below requirements:

• 2-5 years of embedded development experience in a Linux environment with C programming
• With Option1:
• EDK2 experience
• SCT experience
• knowledge of TPMs
• With Option2:
• worked on bootloaders or uboot