Technical Architect at Merkle | AdTechTalent
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Merkle
Technical Architect
snowflake python sql pyspark pandas numpy azure openai openai apis llms rag ai agents prompt engineering vector databases langchain semantic kernel microsoft azure azure data factory azure databricks azure ai services microsoft fabric github azure devops ci/cd docker kubernetes terraform power bi tableau data engineering data architecture generative ai cloud migration data governance
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Join Merkle and work on a role built for experienced AdTech operators.
Quick snapshot
Bengaluru, India
Full-time
Full job description Seeking a Solution Architect with 10+ years in Data Engineering, Warehousing, Architecture or Solution Architecture and 5+ years hands-on Snowflake experience. Requires expertise in Snowflake architecture, implementation, optimization, Python, SQL, PySpark, Pandas, NumPy, and cloud platforms, especially Microsoft Azure. Responsibilities include designing scalable enterprise data solutions, defining data architecture, optimizing Snowflake environments, developing data engineering solutions, implementing Generative AI applications, leading cloud migration, establishing data governance, mentoring teams, and ensuring compliance with security and regulatory standards.
What you'll do Design and implement scalable, secure, and high-performing enterprise data solutions using Snowflake and cloud technologies Define end-to-end architecture for data ingestion, transformation, storage, governance, and analytics Similar jobs
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Architect and optimize Snowflake environments to support business-critical workloads
Develop and review Python- and SQL-based solutions for data engineering and analytics use cases
Design and implement Generative AI solutions including LLM-powered applications, AI assistants, intelligent search, and enterprise copilots
Build and govern RAG-based architectures integrating structured and unstructured enterprise data
Collaborate with business stakeholders to convert business requirements into scalable technical solutions
Lead migration initiatives from legacy data platforms to Snowflake and cloud-native architectures
Establish best practices for data governance, security, performance optimization, and cost management
Provide architectural leadership, conduct design reviews, and mentor engineering teams
Evaluate emerging AI, cloud, and data technologies and recommend adoption strategies
Drive automation, innovation, and continuous improvement initiatives across data and AI platforms
Support solution estimation, technical planning, risk identification, and mitigation strategies
Create architecture documentation, technical roadmaps, and governance artifacts
Ensure compliance with enterprise standards, security policies, and regulatory requirements Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or related field 10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Solution Architecture Minimum 5+ years of hands-on experience with Snowflake architecture, implementation, and optimization Proven experience designing enterprise-scale cloud data platforms and analytics solutions Strong experience with data modernization, cloud migration, and digital transformation initiatives Experience leading technical teams and collaborating with cross-functional stakeholders Excellent communication, presentation, and stakeholder management skills Tech stack Snowflake Snowpark Snowpipe Streams & Tasks Dynamic Tables Data Sharing Python SQL PySpark Pandas NumPy Azure OpenAI OpenAI APIs LLMs RAG AI Agents Prompt Engineering Vector Databases LangChain Semantic Kernel Microsoft Azure Azure Data Factory Azure Databricks Azure AI Services Microsoft Fabric GitHub Azure DevOps CI/CD Docker Kubernetes Terraform Power BI Tableau
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Company
Merkle Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
Industry
Business Consulting and Services
Website
https://www.merkle.com
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