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Snowflake Data Architect

Key Responsibility : Lead the strategic development of Azure data platforms, ensuring scalable solutions and innovative use of Azure's services. Manage end-to-end project responsibilities, including data migrations, security, and AI integration. Demonstrate expertise in Azure data stack, SQL/NoSQL databases, programming languages, and cloud environments.

Passionate. Highly curious. Go-getters. That's who we are💪

We are betting big on AGI/LLMs. We got into this early on with Facebook as our first customer,
and we are now searching for a Data Architect who can harness the power of AI and AGI to
drive data-driven innovations.

Roles and Responsibilities:

Strategic Vision:

⦁Develop and maintain data lakes, warehouses, and sophisticated data platforms on Azure.

⦁Leverage a variety of database technologies to ensure scalable solutions.

Solution Ideation:

⦁Utilize Azure's data services, including Microsoft Fabric, Azure SQL Database, Azure Synapse Analytics, Cosmos DB, Data Lake Storage, Data Factory, and Databricks, for crafting innovative solutions.

Client Collaboration:

⦁Conduct data migrations from diverse database systems to Azure, ensuring data integrity and minimizing downtime.

Technology Evaluation:

⦁Monitor and manage the security, performance, and scalability of Azure data services.

⦁Engage with Azure Stream Analytics for real-time data processing and insights.

Project Management:

⦁Identify and integrate Azure's AI and machine learning capabilities for advanced analytics.

⦁Serve as a company advisor on Azure data best practices and continuous improvement.

Essential Criteria :

⦁Cloud platform proficiency: Experience in Snowflake Microsoft Azure's data stack, including Azure Data Lake, Data Factory, and Synapse Analytics.

⦁Database knowledge: Familiarity with SQL/NoSQL databases like Microsoft SQL Server, Azure Synapse, and Cosmos DB. Practical understanding of other databases(MySQL, PostgreSQL, Oracle, IBM Db2, etc.) is a plus.

⦁Programming skills: Proficiency in SQL, Python, or Scala. Familiarity with data processing and visualization tools.

⦁Azure ecosystem familiarity: Exposure to ARM templates, Azure DevOps, and automation of Azure resources. Consideration of Azure certification, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

⦁Versatility in cloud environments: Experience with non-Azure databases like Amazon RDS, Google Cloud SQL, Redis, and Cassandra would be considered an asset.

Apply for this role

Why work at Ideas2IT

Startup Of Startups

We build multiple products ourselves, hence you will have broad exposure and all the excitement and learnings that come with working for startups. But since we have large enterprises like Ericsson, Medtronics, and Oracle as anchor customers, we are very stable. Its all the excitement of startups without the associated risk.

Accelerated Growth

We invest heavily in our employees learning at an accelerated pace. In addition to cutting edge technologies, we create opportunities to learn leadership, entrepreneurship and so on. We have many programs likes Shart Tank, Tech talks, learning groups to make this happen. You can also take initiatives and bring in new technologies.


We have a unique culture with a lot of individual freedom and responsibility. Many decisions that managers will make in other companies are done by adhoc employee committees. There is a reason people have been with us since founding 10 years ago!


We believe in employer’s growth should be according to their accomplishment instead of years of experience. You will get ample opportunities to prove yourself and raise at your own pace.


Enjoy benefits like simple, convenient opta credit employee loans, health insurance, relaxed dress code (as long as you don’t come in your night clothes!), Flexi-Benefit to save taxes and Zeta card (Foooood).