Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure
Can drive multiple projects both from operational and technical standpoint
Ideate and build PoV or PoC for new product that can help drive more business
Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions
Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering
Lead architecture discussions, align with business needs, security, and best practices
Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
Understanding of Medallion architecture pattern
Has worked on at least one cloud platform
Has worked as data architect and executed multiple end-end data engineering project
Has extensive knowledge of different data architecture designs and data modelling concepts
Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes

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