Big Data Technical Architect
Big Data, Data Warehouse, Cloud Technologies (Azure/AWS/GCP), Data Lake, Snowflake, Databricks
Description
GSPANN is looking for a Big Data Technical Architect. Our culture fosters individual initiative and excellence. Join our global workforce to unleash a pool of opportunities.
Who We Are
GSPANN has been in business for over a decade, with over 2000 employees worldwide, and servicing some of the largest retail, high technology, and manufacturing clients in North America. We provide an environment that enables career growth while still interacting with company leadership.
Visit Why GSPANN for more information.
Location: Gurugram / Hyderabad / Pune / Noida
Role Type: Full Time
Published On: 12 February 2024
Experience: 10+ Years
Description
GSPANN is looking for a Big Data Technical Architect. Our culture fosters individual initiative and excellence. Join our global workforce to unleash a pool of opportunities.
Role and Responsibilities
- Evangelize solutions adopting Big Data, Cloud-Native Technologies, Machine Learning, and Data Science.
- Participate in the design and engineering of data and analytics solutions that have a significant strategic impact on our customers.
- Embrace and influence domain-driven design and architecture principles of security, scale, uptime and reliability.
- Demonstrate a strong bias for architecture principles balanced with tactical goals, costs, and risks.
- Contribute to architecture guiding principles, development standards, and training.
- Design solutions using leading data platforms like Snowflake, Databricks, Synapse, BigQuery, and Redshift.
Skills and Experience
- 8+ years of experience in data engineering and architecture. Should have written production applications in more than one language.
- Should be passionate about technology and can present their own vision to both development teams and senior leadership.
- Strong experience in architecting and implementing the full lifecycle of data engineering and analytics projects on all public clouds.
- 5+ years of experience as a technology architect. Comfortable providing leadership to technical, business, and multi-functional teams and hands-on data or analytics engineering.
- Strong understanding of data and analytics solution architecture, including experience with Big Data, Relational Databases, streaming, and batch data processing.
- Experience with leading enterprise cloud/virtual architectures like AWS, Microsoft Azure, GCP, and other leading open-source projects in the data and analytics domain.
- Expert-level programming skills in SQL and PySpark.
- A solid understanding of the principles and operations of high volume, variety, and velocity business intelligence, data warehousing, reporting, and analytics platforms with a background in architecture and implementation of applications, integrating with OLTP and 3rd party systems.
- Outstanding collaboration, listening, written and verbal communication skills with ability to facilitate technology strategy, requirements and architecture conversations with all stakeholders (management, business users, and technology teams).
