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AWS Architect with Databricks (Remote, India)

Job Summary

We are seeking an experienced AWS Architect with Databricks to design, develop, and implement scalable cloud-based data platforms and analytics solutions. The ideal candidate will have deep expertise in AWS cloud architecture, Databricks, big data technologies, and modern data platform design.

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Key Responsibilities

Cloud Architecture & Solution Design

  • Design and implement scalable, secure, and highly available cloud solutions on AWS.
  • Architect modern data platforms leveraging AWS services and Databricks.
  • Define cloud architecture standards, best practices, and governance frameworks.
  • Collaborate with business and technical stakeholders to translate business requirements into technical solutions.
  • Conduct architecture reviews and provide recommendations for continuous improvement.

Databricks & Data Engineering

  • Design and implement Databricks-based Lakehouse architectures.
  • Develop and optimize ETL/ELT pipelines using Databricks, Apache Spark, Python, and SQL.
  • Build and maintain large-scale data processing frameworks for batch and real-time analytics.
  • Implement data integration solutions across multiple source systems.
  • Optimize performance and scalability of data workloads.

AWS Platform Management

  • Leverage AWS services such as S3, EC2, Lambda, Glue, EMR, Redshift, Athena, IAM, VPC, CloudWatch, and Kinesis.
  • Design secure networking and access management strategies.
  • Implement monitoring, logging, and alerting frameworks.
  • Drive cloud cost optimization and resource utilization initiatives.
  • Ensure high availability, disaster recovery, and business continuity planning.

Data Governance & Security

  • Establish data governance, security, and compliance standards.
  • Implement role-based access controls and data security best practices.
  • Ensure compliance with organizational and regulatory requirements.
  • Define data quality, lineage, and metadata management strategies.

Leadership & Stakeholder Management

  • Provide technical leadership and architectural guidance to engineering and data teams.
  • Mentor developers, data engineers, and cloud engineers.
  • Collaborate with project managers, business stakeholders, and cross-functional teams.
  • Lead architecture discussions, technical workshops, and solution reviews.

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Required Skills & Qualifications

Technical Skills

  • 10+ years of overall IT experience with strong expertise in cloud and data architecture.
  • 5+ years of hands-on experience in AWS analytics solution architecture.
  • Strong experience with Databricks, Apache Spark, Delta Lake, and Lakehouse architecture.
  • Advanced proficiency in Python and SQL.
  • Experience designing and implementing Data Lakes, Data Warehouses, and modern data platforms.
  • Strong understanding of distributed data processing and analytics platforms.
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
  • Experience with CI/CD pipelines and DevOps practices.
  • Strong knowledge of cloud security, governance, networking, and compliance frameworks.
  • Experience with performance tuning, monitoring, and troubleshooting cloud-based data platforms.

Preferred Skills

  • Experience with real-time data processing technologies such as Kafka or AWS Kinesis.
  • Exposure to machine learning and advanced analytics workloads on Databricks.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of data cataloging, metadata management, and governance tools.
  • Experience working in large-scale enterprise cloud environments.
  • AWS and Databricks certifications are highly preferred.

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Educational Qualification

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Ability to drive technical decisions and influence cross-functional teams.
Staff Machine Learning Engineer- Gen AI (Remote, India)

Job Title: Staff Machine Learning Engineer- Generative AI

Experience Required: 10-12 Years

Employment Type: Full-Time

Job Overview:

  • Bachelor’s degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus – but curiosity and drive matter more.
Adobe Analytics Developer (Remote, India)

Job Summary

 

We are seeking an experienced Adobe Analytics Developer to design, implement, configure, and maintain digital analytics solutions across web and mobile platforms. The ideal candidate will have deep expertise in Adobe Analytics, Adobe Launch (Tags), Mobile SDK integrations, and retail/eCommerce customer journey tracking.

This role will be responsible for translating business requirements into scalable analytics implementations, ensuring accurate data collection, and enabling actionable insights across digital channels.

 

Key Responsibilities

 

Adobe Analytics Development & Configuration

  • Design, develop, configure, and support Adobe Analytics implementations for web and mobile applications.
  • Configure and manage:

o              eVars

o              Props

o              Events

o              Classifications

o              Processing Rules

o              Marketing Channels

o              Calculated Metrics

o              Report Suites

o              Virtual Report Suites

o              Segments and Audiences

  • Develop and maintain solution design documents (SDD) and tracking specifications.
  • Perform analytics implementation reviews and recommend optimization opportunities.
  • Troubleshoot data collection issues and resolve reporting discrepancies.

 

Adobe Launch / Tags Implementation

  • Design and implement tag management solutions using Adobe Launch.
  • Create and manage:

o              Rules

o              Data Elements

o              Extensions

o              Custom Code Integrations

o              Environment Management

o              Publishing Workflows

  • Collaborate with developers to implement and validate data layer requirements.
  • Ensure adherence to Adobe implementation best practices.

 

Mobile Application Analytics Integration

  • Implement and support Adobe Experience Platform Mobile SDK integrations for iOS and Android applications.
  • Configure and validate mobile tracking requirements across customer journeys.
  • Work closely with mobile engineering teams to support analytics instrumentation.
  • Debug and troubleshoot SDK implementation issues across mobile platforms.
  • Support app release validation and analytics certification activities.

 

Retail & eCommerce Analytics

  • Partner with business and product teams to understand retail and eCommerce requirements.
  • Implement tracking across:

o              Product Listing Pages

o              Product Detail Pages

o              Search

o              Shopping Cart

o              Checkout

o              Order Confirmation

o              Loyalty Programs

o              Promotions and Campaigns

  • Support customer behavior analysis and digital performance measurement.

 

Data Validation & Testing

  • Validate analytics implementations across web and mobile applications.
  • Execute functional and regression testing for analytics changes.
  • Verify data layer implementation and event tracking accuracy.
  • Perform debugging using browser developer tools and analytics validation tools.
  • Support UAT and production release verification.

 

Collaboration & Governance

  • Work closely with Product Managers, Digital Teams, Marketing, and Engineering teams.
  • Participate in Agile ceremonies and release planning.
  • Maintain implementation standards and analytics governance documentation.
  • Provide technical guidance on analytics best practices.

 

Required Qualifications

  • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related discipline.
  • 3+ years of hands-on Adobe Analytics development experience.
  • Strong expertise in Adobe Analytics configuration and administration.
  • Strong experience with Adobe Launch (Adobe Tags).
  • Experience working with data layers and digital tracking architectures.
  • Experience in retail and eCommerce environments.
  • Strong troubleshooting and debugging skills.

 

Preferred Qualifications

  • Experience with Adobe Experience Platform (AEP).
  • Experience with Customer Journey Analytics (CJA).
  • Familiarity with mobile app release processes.
  • Experience with REST APIs and integration patterns.
  • Knowledge of Agile development methodologies.
Sr. Business Development Executive (Pune, India)

Location: Pune (Work From Office)

Experience: 4–7 Years

Shift Timing: US Business Hours (2:00 PM – 11:00 PM IST)

Industry: B2B IT Services | Data Analytics | Business Intelligence | AI & Modern Data Platforms

 

About the Role

We are looking for a highly driven and performance-oriented Senior Business Development Executive to lead and execute demand generation and lead generation initiatives for our Data, Analytics, Business Intelligence, and AI services practice.

This is a strategic role where you will be responsible for building and executing demand generation programs, generating qualified opportunities, driving workshop and webinar participation, and creating a consistent pipeline of enterprise prospects.

The ideal candidate combines strategic thinking with hands-on execution and has experience selling or marketing IT Services, Data Analytics, BI, Cloud, or AI solutions to enterprise customers in the US market.

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Key Responsibilities

Demand Generation

• Own end-to-end demand generation strategy and execution.

• Develop and execute campaigns to drive registrations for workshops, webinars, executive briefings, and events.

• Create targeted outreach campaigns aligned with business goals and service offerings.

• Identify market opportunities, target accounts, and buying personas.

• Build and execute Account-Based Marketing (ABM) initiatives.

• Collaborate with leadership, marketing, and technical teams to create compelling value propositions and outreach strategies.

Business Development & Prospecting

• Generate qualified opportunities and introductory meetings with enterprise prospects.

• Build and maintain a healthy pipeline of target accounts and prospects.

• Conduct account research, prospect profiling, and stakeholder mapping.

• Execute outbound prospecting through email, LinkedIn, phone, and other channels.

• Nurture prospects through multi-touch campaigns and engagement strategies.

• Schedule and coordinate discovery meetings for leadership and solution teams.

Lead Generation & Pipeline Development

• Create and execute lead generation plans to achieve monthly and quarterly targets.

• Utilize data-driven approaches to improve conversion rates across outreach campaigns.

• Maintain CRM hygiene and ensure accurate tracking of activities, opportunities, and pipeline metrics.

• Continuously optimize messaging, targeting, and campaign performance.

Workshops & Webinar Support

• Support planning and promotion of workshops, webinars, and executive events.

• Engage with attendees and prospects before and after events.

• Follow up with participants and convert engagement into qualified opportunities.

• Contribute ideas and strategies to improve event-driven lead generation outcomes.

Client Engagement

• Lead first-level prospect conversations and qualification calls.

• Understand customer business challenges and align them with company offerings.

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Required Skills & Qualifications

• 4–7 years of experience in B2B Business Development, Demand Generation, Lead Generation, or Growth Marketing within the IT Services industry.

• Proven experience working with US-based customers and prospects is mandatory.

• Experience selling or marketing Data Analytics, Business Intelligence, Data Engineering, Cloud, AI, or Digital Transformation services is highly preferred.

Technical & Domain Knowledge

• Good understanding of IT Services sales and consulting business models.

• Knowledge of Data Analytics, Business Intelligence, Data Platforms, AI, or Cloud technologies.

• Exposure to Microsoft Data & AI ecosystem (Microsoft Fabric, Azure Data Platform, Power BI, AI Services, Copilot) is a strong advantage.

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What We Are Looking For

• Strategic thinker with strong execution capabilities.

• Self-starter who takes ownership and accountability.

• Highly target-driven and performance-oriented mindset.

• Strong analytical and planning skills.

• Ability to work independently while collaborating across teams.

• Passion for technology, innovation, and customer engagement.

 

You can also share your resume on hr@intellifysolutions.com

Making An Impact

Intellify works solving diverse business problems using cutting-edge technologies. Join us to be a part of the future!

Company Culture

  • Highly fulfilling and challenging work
  • Open door policy of sharing thoughts
  • Support and guidance by highly experienced industry professionals
  • Regular training for employees
  • Flexible work timings
  • A work culture that is open and casual yet responsible