Technical Architect

ob description

Business Analyst – Job Description

Exp =2+ year

1. Requirement gathering, Development, Requirement Analysis and documentation, Requirement communication, Requirement management and Testing. Work closely with the Business teams in gathering requirements, and getting it implemented in the system.

2. Designing and developing functional test cases, impact analysis, system integration testing and regression testing. Conducting UAT and documentation of test cases.

3. Support and assists with end user training and coordinates the implementation of these services for the Business.

4. Based on Testing Feedback from Business Users, plan go live dates for the developments.

5. Work with various user and support teams to manage technical/operational issues.

6. Raise the bugs and CRs to tech team and track till closure.

7. Produce periodic and ad-hoc reports for all stakeholders including leadership to monitor and ensure that projects comply with the governance framework.

8. Work closely with the vendor in getting the development completed on time and ensure adherence to quality standards.

9. Ability to multitask and work in a high pressure environment.

10. Excellent analytical, communication, presentation & interpersonal skills.

11. Ability to resolve customer/business issues and run the application management activities.

12. Willingness to go the extra mile to resolve customer/technical issues.

Job Types: Full-time, Permanent

Pay: ₹400,000.00 - ₹700,000.00 per year

Benefits:

• Provident Fund

Schedule:

• Day shift

Education:

• Bachelor's (Preferred)

Experience:

• BA in travel domain: 3 years (Required)
• Business analysis: 2 years (Required)
• total work: 2 years (Required)

Work Location: In person

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.

✅ Mandatory Skills

• Strong programming experience in C++ (C++11/14/17)
• Hands-on experience with Kubernetes (K8s)Application-level understanding
• Experience with StatefulSets & DaemonSets
• Good understanding of Linux systems
• Experience in multithreading and concurrency
• Strong problem-solving and debugging skills

⭐ Good to Have

• Experience in Microservices architecture
• Knowledge of Docker / containerization
• Basic knowledge of Python (for scripting/automation)
• Exposure to Distributed Systems
• Familiarity with CI/CD pipelines
• Experience with cloud platforms (AWS / Azure / GCP)

About the Company

We are a young, fast-moving startup building products where design directly influences how users think, feel, and interact. You will be working closely with the founders and will have real ownership over shaping the brand and product experience.

What You Will Do

• Design digital assets for product interfaces, marketing campaigns, and brand materials.

• Work with engineers to ensure smooth, accurate design-to-development handoff.

• Create visuals, presentations, and basic motion content using Figma, Canva, and video tools.

• Contribute ideas during brainstorming sessions and help evolve the startup’s overall design language.

• Assist in building UI layouts, design systems, and prototypes for web and product experiences.

• Maintain design consistency and clarity across all user and brand touchpoints.

Important

All shortlisted candidates will be required to complete an assignment as part of the selection process.

Digital Marketing Manager

Role: Digital Marketing Manager

Required Educational Qualification: Any UG or PG

Company Name - Promilo.com (Sawara Solutions Pvt ltd)

Experience - 2 to 5 yr

Location: Bangalore

Mode – Full Time / Work from office

About us:

Promilo is India’s 1st innovative platform which “Pay to Browse”

It is a B2B SaaS start-up that enables to accelerate of he business appointment funnel of the

companies. We’re an advertising platform that connects both users & advertisers. Users will be able to book an online appointment based on their interests with the advertiser, without compromising their data privacy and get rewarded for sharing their data and time. We’re registered and recognized by Start-up India, Start-up Karnataka & MSME companies.

To know more - visit our company website.

Job description

Roles and Responsibilities

● Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social

media and display advertising campaigns, EPC campaigns,Organic content, and blog posts.

● Work on Google Ads, Facebook ads, YouTube, and LinkedIn platforms to design, build, and

maintain social media presence and execute marketing campaigns.

● Measure and report performance of all digital marketing campaigns and assess against goals.

● Measuring ROI for digital marketing and making recommendations on the most optimal

solutions.

● Collaborates with internal teams to create landing pages and optimize the user experience.

● Brainstorms new and creative growth strategies through digital marketing

● Maintains digital marketing staff by recruiting, selecting, orienting, and training employees.

● Regularly review and monitor competitive websites to ensure leading in design, usability, and

user experience.

● Keeping up to date on industry trends, new media buying opportunities, and

recommendations on new ways to reach the target audience

Desired Candidate Profile

● Minimum 1 -2 years of relevant experience in Digital Marketing.

● Demonstrable experience leading and managing SEO/SEM, marketing database, email,

social media and/or display advertising campaigns, EPC campaign, Organic content, blog

posts.

● Experience working on-page optimization and off-page optimization

● Highly creative with experience in identifying target audiences and devising digital campaigns

that engage, inform, and motivate

● Knowledge of website analytics tools (e.g., Google Analytics, NetInsight, Omniture,

WebTrends)

● Working knowledge of HTML, CSS, and JavaScript development and constraints

● Experienced with website analytics and can distill data into actionable insights

● Familiar with financial planning and strategy, excellent account-based marketing, event

planning, analytics, email, social media, paid, marketing operations, copywriting, and editing

skills.

KeySkill: digital marketing, Content Creation, PPC. organic content, Facebook Campaign, GoogleAdWords, marketing, management, Blog, Commenting, Social Media, Optimization, ContentOptimization, Google Ads, Seo Marketing, Website Analysis, Advertising Campaigns, EPC, Search, Engine Marketing

Looking for folks with a hacker's mindset

We’re seeking a talented developer to help build our platform from the ground up. As a critical member of a dynamic and highly-motivated team, you will have to perform  a full stack developers role. And will be responsible for designing & coding new functionality from scratch and maintaining or enhancing the current functionality.

Must haves

• Clear communication skills and a strong customer first attitude
• PHP expert with live project implementations in Laravel framework with MySQL database
• Write clean and well-designed & scalable code
• Maniacal about creating flawless & defect-free delivery
• Troubleshoot, test and maintain the core product code and databases. Refactor or optimize existing code & database where needed
• Maintain a positive and healthy work environment within the team and have fun while doing it
• Contribute in all phases of the development lifecycle right from requirements through till deployment
• Ability to learn and implement automated test tools

• Designing and Developing web applications using Laravel 7 / 8
• Closely working front-end and back-end developers on projects.
• Hands on experience with handing MySQL queries
• Excellent logical and analytics skill
• Experience on handling and developing API end points
• Experience with Payment Gateway integrations and implementations
• Knowledge on any Frontend Framework - Bootstrap / Foundation / Backbone (Secondary skills, added advantage)

• Follow standard coding structure with Security first approach to avoid vulnerabilities such as SQL Injection and XSS
• Sound knowledge on integrating multiple payment gateway