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Senior Big Data Architect
2 months ago
Job Title: Senior Big Data Architect - Modern Data Stack
Location: Pune
Experience Level: 6+ Years
We are ideally seeking someone who can start as soon as possible
Company Overview:
Join our client a pioneering startup founded by renowned tech experts, marking their second venture in the AI and ML field. The founders previously established a successful IT services and consulting company in Pune, India, which grew to $30 million in revenue and over 3,000 employees within a decade. Acquired by a major player in 2020-22, this new venture is poised for significant growth.
Job Description:
We are seeking a Senior Big Data Architect to design and oversee the development of scalable, high-performance data systems. In this role, you will leverage your expertise in the Modern Data Stack, including Snowflake and Databricks, to create robust data solutions that support advanced analytics and AI capabilities. You will collaborate with cross-functional teams, lead the architecture of large-scale data systems, and optimize cloud infrastructure on platforms like AWS, Azure, or Google Cloud.
Key Responsibilities:
- Architect and implement large-scale Big Data systems.
- Develop secure data architectures for analytics and machine learning.
- Build and optimize data pipelines using tools like Apache Spark and Databricks.
- Collaborate with data engineers and scientists to align architectures with business objectives.
- Provide mentorship to junior team members and drive innovation in data solutions.
Qualifications:
- 6+ years of experience in Big Data architecture, with a strong focus on cloud platforms.
- Extensive hands-on experience with Snowflake, Databricks, and Apache Spark.
- Proficiency in SQL, Python, and Java.
- Strong leadership and communication skills.
Join us to drive innovation in Big Data and AI
