We are seeking a highly experienced Data Architect with expertise in Snowflake to lead the design and implementation of scalable, high-performance data solutions. The ideal candidate will possess deep knowledge of ETL processes, data architecture, and large-scale data migration. This role involves collaborating with stakeholders, guiding data engineering teams, and ensuring adherence to best practices in data governance and DataOps. Experience in SAP environments and familiarity with real-time streaming technologies are essential.
Mandatory Skills:
Snowflake experiance, Data Architecture experiance, ETL process experiance, Large Data migration solutioning experiance
Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability.
Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
Develop and maintain data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies.
Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments.
Provide technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing.
Conduct performance tuning and optimization of Snowflake databases and queries.
Stay updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices.
Primary Skills:
Extensive experience in designing and implementing data solutions using Snowflake. DBT,
Proficiency in data modeling, schema design, and optimization within Snowflake environments.
Strong understanding of cloud data warehousing concepts and best practices, particularly with Snowflake.
Expertise in Dimension Modeling is a must
Expertise in python/java/scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake.
Familiarity with other cloud platforms and data technologies (e.g., AWS, Azure, GCP )
Demonstrated experience in implementing data governance frameworks and DataOps practices.
Working experience in SAP environments
Familiarity with realtime streaming technologies and Change Data Capture (CDC) mechanisms.
Knowledge of data governance principles and DataOps methodologies
Proven track record of architecting and delivering complex data solutions in cloud platforms/ Snowflake.
Secondary Skills:
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Knowledge of data security and compliance standards
Excellent communication and presentation skills, with the ability to convey complex technical concepts to juniors, non-technical stakeholders.
Strong problem-solving and analytical skills - Ability to work effectively in a collaborative team environment and lead cross-functional initiatives.
Snowflake Experience, Data Architecture Experience, ETL Process Experience, Large Data Migration Solutioning Experience, DBT, Data Modeling, Schema Design, Cloud Data Warehousing, Dimension Modeling, Python, Java, Scala, SQL, Data Integration Techniques, AWS, Azure, GCP, Data Governance Frameworks, DataOps Practices, SAP Environments, Real-time Streaming Technologies, Change Data Capture Mechanisms, Data Visualization Tools, Data Security, Compliance Standards, Communication Skills, Presentation Skills, Problem-solving Skills, Analytical Skills, Team Collaboration, Cross-functional Leadership.