Data Architect SnowflakeDBT
Data Architect SnowflakeDBT
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1 Vacancy
Job Description
Role: Data Architect (Snowflake/DBT)
Location: Ney York City NY (3 days onsite 1 day remote)
Durations: Permanent / FTE
Interview: Video
Primary Responsibility:
Client is searching for a handson businessfocused technology lead. The ideal candidate will have functional knowledge in Sales and Marketing processes and core data engineering technologies such as databases BI ETL and AI tools. The individual will work closely and partner with global sales enablement analytics client management operations and finance teams to deliver on projects that provide the capabilities defined in the target operating model.
- Setting up Semarchy MDM tools and maintenance. (Mandatory)
- Strong database management skills Snowflake/SQL/ DBT. (Mandatory)
- Strong cloud infra e.g. ADLS & ADF.
- Expertise in relational and dimensional data modeling.
- Designing and developing efficient data ingestion processes data models and data pipelines leveraging the power of Snowflake/ Redshift / Bigquery
- Collaborating extensively with clients to gain a deep understanding of their data requirements and translating them into robust technical solutions.
- Implementing endtoend ETL/ELT workflows to seamlessly extract transform and load data into Snowflake/ Redshift / Bigquery
- Optimizing data pipelines to achieve exceptional performance scalability and reliability.
- Conducting thorough data quality assessments and implementing effective data governance best practices.
- Monitoring and troubleshooting data integration processes to ensure the utmost accuracy and integrity of data.
QUALIFICATIONS AND EXPERIENCE: (Academic Professional Experience)
- Excellent oral and written and problemsolving skills are required.
- Candidate should be comfortable working in a fastpaced environment and can help build APIs Calculators on new cuttingedge cloud and big data technologies such as Snowflake Fivetran DBT Python etc.
- Topnotch lead engineering talent with 8 years of experience building and managing data related solutions preferably in financial industry.
- Experience using ETL/ELT tools and technologies such as Azure Data Factory SSIS a plus.
- Embrace data platform thinking design and develop data pipelines keeping security scale uptime and reliability in mind.
Employment Type
Full Time
