Senior Data Architect- SNOWFLAKE

4 weeks ago

India ComfNet Solutions GmbH Full time

Position: Sr. Data Architect – SNOWFLAKE

Duration: 6 months

Budget: 2 Lakhs per month - Fixed

Location: Remote

Experience: 8–10 Years

Timing: 12 PM to 9 PM (with a few hours overlap in EST time zone – mandatory)

Notice Period: Immediate

Project Duration: 6 Months - Extendable

Job Description

- A minimum of 8–10 years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms.

- Working hours: 8 hours, with overlap during EST time zone meetings (mandatory).

Responsibilities

- 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 and 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 Python/Java/Scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake.
- Familiarity with cloud platforms and data technologies (AWS, Azure, GCP).
- Experience implementing data governance frameworks and DataOps practices.
- Working experience in SAP environments.
- Familiarity with real-time streaming technologies and Change Data Capture (CDC) mechanisms.
- Proven track record of architecting and delivering complex data solutions in cloud platforms/Snowflake.

Secondary Skills (Optional)

- Experience with data visualisation tools (e.g., Tableau, Power BI).
- Knowledge of data security and compliance standards.
- Excellent communication and presentation skills, able to convey complex technical concepts to juniors and non-technical stakeholders.
- Strong problem-solving and analytical skills; ability to work effectively in a collaborative team environment and lead cross-functional initiatives.

Certifications (Desirable but not Mandatory)

- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced Architect, SnowPro Advanced Data Engineer).

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