Solutions Architect (Managed Services)

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Requirements:

• 10 years of hands-on experience of architecting, designing, implementing, and managing cloud-native data platforms and solutions.
• Strong communication skills, with experience presenting to executive stakeholders and creating detailed solution documentation.
• Extensive experience managing enterprise data platforms (e.g., Snowflake, Redshift, Azure Data Warehouse) with strong skills in performance tuning and troubleshooting.
• Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka.
• Build and manage scalable, secure data platforms aligned with strategic goals. Excel at optimizing systems and driving continuous improvement in platform performance.
• Advanced proficiency in Microsoft SQL, including writing, debugging, and optimizing queries.
• Proficiency in infrastructure-as-code (IaC) tools like Terraform or CloudFormation, and experience with CI/CD pipelines (e.g., Bitbucket, GitHub).
• Expertise with tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.

Responsibilities:

• Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure.
• Guide technical teams through data migration, integration, and performance optimization.
• Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities.
• Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems.
• Setting up a client's data platform with industry best practices & robust security standards including Data Governance.
• Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed.
• Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms.
• Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI.
• Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals.
• Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction.
• Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence.