Snowflake Solution Architect

6 days ago

India MResult Full time

Why MResult?

Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges.


What We Offer:

At MResult, you can leave your mark on projects at the world’s most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision.


What This Role Requires

In the role of Snowflake Solution Architect , you will be a key contributor to MResult’s mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do:


What are we looking for?

1. Architect and Implement Solutions : Design and deploy scalable, high-performance data architectures using Snowflake, DBT, PL/SQL, Python, and AWS cloud solutions.

2. Data Integration Leadership : Lead the integration of diverse data sources, ensuring seamless data ingestion, transformation, and storage on AWS cloud platforms.

3. Database Optimization : Optimize existing database systems for performance, reliability, and scalability, leveraging AWS services where applicable.

4. Technical Expertise: Provide deep technical expertise and innovative solutions to complex data challenges, incorporating AWS cloud technologies.

5. AWS Solutioning : Develop and implement cloud-based data solutions using AWS services such as S3, Redshift, RDS, Lambda, and Glue.

6. Collaboration : Work closely with data engineers, data scientists, and business stakeholders to align data solutions with business goals, utilizing AWS cloud infrastructure.

7. Documentation : Develop and maintain comprehensive technical documentation for all data architecture and solutions, including AWS cloud components.

8. Mentorship: Mentor junior team members, fostering a culture of learning and continuous improvement, with a focus on AWS cloud best practices.

9. Best Practices : Implement and advocate for best practices in data engineering, including coding standards, testing, data governance, and cloud security.

10. Performance Monitoring : Monitor and enhance data processing workflows to ensure optimal performance and efficiency, leveraging AWS monitoring tools such as CloudWatch.

11. Stakeholder Communication : Effectively communicate technical concepts and project status to non-technical stakeholders and executive management, including the benefits of AWS cloud solutions.


Manage, Master, and Maximize with MResult

MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult — where your ideas help shape the future.

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