Designs and leads enterprise-scale cloud data platforms and analytics solutions using Snowflake, Python, SQL, and Azure technologies. Responsibilities include data architecture, migration, governance, optimization, and technical leadership. The role also architects generative AI, LLM, and RAG solutions, mentors engineering teams, conducts design reviews, develops roadmaps, and translates business requirements into secure, scalable technical solutions.
Job Description:
Solution Architect (Snowflake, Python & SQL)Required Qualifications- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a 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.
- Snowflake: Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization.
- Programming: Python, SQL, PySpark, Pandas, NumPy.
- Data Engineering: ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling.
- Generative AI & AI Technologies: Azure OpenAI, OpenAI APIs, LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel.
- Cloud Platforms: Microsoft Azure (preferred), Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric.
- DevOps & Automation: GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform.
- Data Governance: Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls.
- Visualization & Analytics: Power BI, Tableau, Advanced Analytics.
- 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.
- 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.
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSimilar Jobs
AdTech • Marketing Tech
Leads technical architecture and delivery for cloud-based data solutions. Designs data warehouses, data models, ETL pipelines, databases, and technical integrations; translates business requirements into SQL and ETL development; guides implementation teams; manages project delivery, technical governance, documentation, quality processes, and client communications. Requires hands-on Azure data engineering, architecture, development, and project leadership experience.
Top Skills:
Amazon FirehoseAmazon KinesisApache AirflowAws GlueAws LambdaAzureAzure Data FactoryAzure SqlAzure Synapse AnalyticsCloud FunctionsCloud RunComposerDatabricksDataprocDbtGitGoogle Cloud DataflowIicsInformaticaJIRAMS OfficeMongoDBMySQLOraclePowerPointPub/SubPysparkPythonRedshiftSnowflakeSQL ServerSvnTalendTidalTivoliUnix Shell ScriptingVisio
AdTech • Marketing Tech • Software
Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs data warehouses, data marts, databases, ETL pipelines, and technical solutions primarily on Azure. Translates business requirements into technical designs and development work, leads implementation teams, reviews code, supports testing, governs architecture standards, performs proofs of concept, and collaborates with clients, project managers, analysts, DBAs, data scientists, and global teams. Manages one to two projects and provides technical coaching and post-delivery support.
Top Skills:
AgileAmazon FirehoseAmazon KinesisAmazon RedshiftApache AirflowAws GlueAws LambdaAzureAzure Data FactoryAzure SqlAzure Synapse AnalyticsDatabricksDbtETLGitGoogle Cloud Data FusionGoogle Cloud FunctionsGoogle Cloud RunGoogle ComposerGoogle DataflowGoogle DataprocGoogle Pub/SubIicsInformaticaJIRAMS OfficeMongoDBMySQLNoSQLOraclePowerPointPysparkPythonSnowflakeSQLSQL ServerSvnTalendTidalTivoliUnix Shell ScriptingVisioWaterfall
AdTech • Marketing Tech • Software
Design and lead enterprise-scale data and AI architectures centered on Snowflake and Microsoft Azure. Responsibilities include data platform modernization, cloud migration, data governance, Snowflake optimization, Python and SQL development, and GenAI solutions using LLMs and RAG. The role leads technical teams, conducts architecture reviews, mentors engineers, translates business requirements into solutions, creates roadmaps and governance documentation, and ensures security, compliance, performance, and cost optimization.
Top Skills:
Ai AgentsAzure Ai ServicesAzure Data FactoryAzure DatabricksAzure DevopsAzure OpenaiCi/CdData LakehouseData ModelingData SharingData WarehousingDockerDynamic TablesEltETLGitKubernetesLangchainLarge Language ModelsAzureMicrosoft FabricNumpyOpenai ApisPandasPower BIPrompt EngineeringPysparkPythonRetrieval-Augmented GenerationSemantic KernelSnowflakeSnowparkSnowpipeSQLStreams And TasksTableauTerraformVector Databases
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
