About the Role: We are looking for a seasoned Information Management (IM) Tech Lead / Architect to drive the architecture, design, and implementation of enterprise-grade data integration and analytics solutions. This is a strategic, hands-on role ideal for professionals with a deep understanding of data warehousing, ETL processes, and information architecture, coupled with strong leadership and communication skills. You will play a critical role in architecting optimized, scalable data solutions for high-throughput environments, while leading cross-functional teams and aligning technical solutions with business goals. Key Responsibilities: Solution Design and Architecture: Design and architect end-to-end Information Management (IM) solutions, encompassing data warehousing, data integration processes, and data modeling techniques. ETL Pipeline Leadership: Lead the development and optimization of Extract, Transform, Load (ETL) pipelines utilizing Informatica IICS, PowerCenter, and other relevant enterprise tools. Stakeholder Collaboration and Requirements Gathering: Collaborate effectively with various stakeholders to gather business requirements and translate them into detailed technical specifications, ensuring the delivery of high-quality data solutions. Performance and Scalability Management: Ensure optimal performance, scalability, and efficiency within environments characterized by high data throughput and intensive integration demands. Technical Leadership and Mentorship: Provide strong technical leadership and mentorship to development teams, promoting and enforcing best practices in coding standards, data modeling methodologies, and system integration approaches. Reporting and Visualization Support: Support reporting and data visualization initiatives through the effective use of tools such as Power BI. Data Governance and Standards Implementation: Implement and rigorously enforce data governance policies, data quality standards, and established architectural guidelines. Effective Communication: Communicate clearly and effectively with both technical and non-technical stakeholders, maintaining transparency and ensuring alignment across all project phases. Required Skills and Expertise: Information Management Architecture: Demonstrated strong expertise in the design and implementation of comprehensive information management systems. Data Warehousing and Modeling: Possesses a deep understanding of data warehousing concepts, principles, and various data modeling techniques (e.g., relational, dimensional). ETL Workflow Proficiency: Highly proficient in designing, developing, and optimizing ETL workflows for efficient data processing and integration. Informatica Expertise: Hands-on and in-depth experience working with Informatica IICS (Intelligent Cloud Services) and PowerCenter. Technical Team Leadership: Proven track record of successfully leading and guiding technical development teams. Data Analysis Skills: Solid foundation and practical experience in analyzing data to extract meaningful insights and support decision-making. Business Intelligence with Power BI: Experience and proficiency in leveraging Power BI for creating insightful data visualizations and business intelligence reports. Python Scripting: Proficient in using Python for various data-related tasks, including data manipulation, automation of processes, and system integration. AWS Cloud Exposure (Beneficial): Familiarity with Amazon Web Services (AWS) cloud platform and its data-related services is considered a valuable plus. Show more Show less

Lead GenAI Developer Experience: 8+ years Role: Lead GenAI Engineer Location: Pune / Mumbai / Bangalore / Hyderabad Type: Full-Time Responsibilities: Lead end-to-end GenAI solution design, development, and integration. Guide prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Mentor junior developers and enforce engineering best practices. Collaborate with architects and PMs to shape solution roadmaps. Own performance benchmarking, scalability, and reuse across solutions. Requirements: Deep expertise in building GenAI/LLM-based apps. Strong hands-on with Python, LangChain, LangGraph, prompt tuning, and vector stores. Experience with MLOps, API integration, and observability tools. Proven ability to lead teams and deliver complex AI solutions. Stay current with AI trends and tools.

What You'll Do Analyze campaign and funnel performance metrics including traffic, form fills, inquiries, AQLs, MQLs, and contribution to pipeline and revenue. Develop and maintain automated and manual feedback files to pass offline conversion and audience data into advertising platforms (Google, LinkedIn, Facebook). Build and maintain clear, interactive dashboards in Power BI to support marketing stakeholders. Write efficient SQL queries to support reporting and ad hoc investigations across marketing and sales data. Adjust and troubleshoot advertising tags (e.g., floodlight, LinkedIn Insight, Meta Pixel) deployed via Adobe Launch on Avalara’s website. Collaborate with Marketing Ops to ensure proper tagging, campaign hierarchy, and data integrity. Validate and QA data across tools like Adobe Analytics, Salesforce, Marketo, and 6sense. Translate analysis into insights and recommendations for digital campaign optimizations and strategic decisions. What You’ll Need to Be Successful 3–5 years of experience in a marketing analytics, digital marketing, or marketing operations role. Deep understanding of B2B marketing funnels and metrics: website visitors, leads, form fills, inquiries, AQLs, MQLs, and opportunities. Proficiency with Power BI for building user-friendly dashboards and marketing performance reports. Strong SQL skills (intermediate to advanced), including experience with joins, filters, and aggregations across large datasets. Experience managing audience or conversion data uploads into ad platforms (Google Ads, LinkedIn Campaign Manager, Meta Ads Manager). Familiarity with tag management systems , especially Adobe Launch , to deploy or troubleshoot marketing pixels and tags. Ability to reconcile and clean data across marketing systems and deliver actionable business insights. Clear communicator who can collaborate cross-functionally with demand generation, ops, and digital teams