What are the responsibilities and job description for the Data Solutions Architect (Snowflake/AWS) position at Connvertex Technologies Inc.?
Job Title : Data Solutions Architect (Snowflake / AWS)
MUST HAVE SKILLS : Snowflake and AWS
TOP Skills Required : Snowflake, AWS, Data Warehouse concepts, Data Pipeline, Data Modeling, Data Lake, AWS S3, Glue, Red Shift, Data Bricks
Nice to have : Advanced / Latest Data Concepts such as Data Lakehouse, Data Mesh, data related enterprise issues data governance, data security etc .
Key Responsibilities :
Help customers leverage data as a strategic asset by implementing modern data solutions on AWS.
Collaborate with stakeholders to develop cloud-native data platform architectures.
Define technology roadmaps and best practices, including architecture design and data modeling.
Lead strategy sessions on Data & Analytics maturity, ensuring performance, scalability, and cost-effectiveness.
Provide insights on modern data technologies, BI, and predictive analytics.
Design, prototype, and deliver cloud-based data solutions for business use cases (e.g., P&C Insurance).
Guide customers in cloud adoption, assessing AWS readiness and delivering structured learning plans.
Required Skills & Experience :
15 years of experience, with 4 years in cloud-native data solutions (AWS, Snowflake, Databricks, etc.).
Expertise in data platform architectures, data engineering, and management.
Strong knowledge of Snowflake, AWS databases, and cloud-native warehouse concepts.
Experience working with Data Engineering, BI, and Analytics teams in complex IT environments.
Hands-on expertise with ETL tools, Kafka, and ELT techniques.
Familiarity with NoSQL databases, data appliances, and performance optimization.
Preferred (Nice to Have) :
Experience implementing analytics models using AWS SageMaker.
Knowledge of Data Mesh and Data Products design and implementation.
