Purple Drive
Key Responsibilities
Architect and deliver
end-to-end data warehousing and analytics solutions using
Snowflake . Design scalable and efficient data architectures
aligned with business requirements, industry best practices, and compliance standards. Develop and manage
data pipelines, workflows, and ETL/ELT processes
across cloud environments. Optimize
data ingestion, transformation, and integration processes
for performance and scalability. Integrate Snowflake with
AWS, Azure, and GCP
environments, as well as ETL tools such as
Informatica, dbt, and Talend . Lead deployment of Snowflake solutions, ensuring robust
data governance, security, and compliance . Conduct
discovery sessions, technical demos, and proof-of-concepts
for internal teams and clients. Provide
expert guidance during pre-sales, solution design, and client engagements . Document architectural designs, standards, and best practices for reusability. Mentor and train internal teams and client stakeholders on
Snowflake capabilities and adoption . Required Qualifications
Bachelor's degree in
Computer Science, Information Technology, Data Science, or a related field . 10+ years of total IT experience , with at least
5 years in data architecture/solution architecture . 3+ years of hands-on experience with Snowflake
in production environments. Strong expertise in
data warehousing, data modeling, and ETL/ELT
processes. Proficiency in
SQL, Python , and cloud platforms ( AWS, Azure, GCP ). Experience with
BI and visualization tools
(Power BI, Tableau, or similar). Strong
problem-solving, communication, and collaboration
skills with the ability to influence technical and business stakeholders. Preferred Skills
Knowledge of
CRM platforms
such as
SAP CRM or Salesforce CRM . Experience implementing
forecasting, anomaly detection, and classification
solutions in Snowflake. Familiarity with advanced data integration tools ( MuleSoft, StreamSets ). Proven ability to
lead technical presentations, workshops, and proof-of-concepts .
Architect and deliver
end-to-end data warehousing and analytics solutions using
Snowflake . Design scalable and efficient data architectures
aligned with business requirements, industry best practices, and compliance standards. Develop and manage
data pipelines, workflows, and ETL/ELT processes
across cloud environments. Optimize
data ingestion, transformation, and integration processes
for performance and scalability. Integrate Snowflake with
AWS, Azure, and GCP
environments, as well as ETL tools such as
Informatica, dbt, and Talend . Lead deployment of Snowflake solutions, ensuring robust
data governance, security, and compliance . Conduct
discovery sessions, technical demos, and proof-of-concepts
for internal teams and clients. Provide
expert guidance during pre-sales, solution design, and client engagements . Document architectural designs, standards, and best practices for reusability. Mentor and train internal teams and client stakeholders on
Snowflake capabilities and adoption . Required Qualifications
Bachelor's degree in
Computer Science, Information Technology, Data Science, or a related field . 10+ years of total IT experience , with at least
5 years in data architecture/solution architecture . 3+ years of hands-on experience with Snowflake
in production environments. Strong expertise in
data warehousing, data modeling, and ETL/ELT
processes. Proficiency in
SQL, Python , and cloud platforms ( AWS, Azure, GCP ). Experience with
BI and visualization tools
(Power BI, Tableau, or similar). Strong
problem-solving, communication, and collaboration
skills with the ability to influence technical and business stakeholders. Preferred Skills
Knowledge of
CRM platforms
such as
SAP CRM or Salesforce CRM . Experience implementing
forecasting, anomaly detection, and classification
solutions in Snowflake. Familiarity with advanced data integration tools ( MuleSoft, StreamSets ). Proven ability to
lead technical presentations, workshops, and proof-of-concepts .