Job Summary

Technical Architect\Lead with ten to twelve years of experience designing and implementing cloud native data and analytics solutions using AWS services and Snowflake technologies with a focus on secure scalable and resilient platforms that streamline data pipelines optimize costs and accelerate insight delivery in a hybrid work model with day shift expectation

Responsibilities

Design cloud native data architectures that integrate Amazon S3 AWS Glue AWS Lambda and Snowflake to deliver secure scalable and cost-effective analytics solutions that meet strategic business objectives in a hybrid work environment. -Develop end to end data ingestion and transformation workflows using AWS Code Pipeline Snowpipe and Python to ensure reliable near real time data availability for analytics and reporting stakeholders. -Define standards for data modeling Snowflake SQL development and performance optimization to achieve consistent query response times and predictable platform behavior across diverse analytical workloads. -Implement robust data quality validation steps using Python and Snowflake features to detect log and remediate anomalies before they impact downstream dashboards and data products. -Coordinate with product teams data engineers and analysts to translate functional needs into detailed technical designs that leverage AWS and Snowflake services efficiently and sustainably. -Optimize storage layouts in Amazon S3 and Snowflake by organizing data tuning clustering strategies and aligning retention policies to manage cost while preserving analytical flexibility. -Configure and maintain secure data access patterns by applying fine grained roles policies and encryption capabilities across AWS and Snowflake platforms to safeguard sensitive information. -Automate build test and deployment workflows using AWS Code Pipeline to increase release frequency reduce manual errors and ensure consistent delivery of data pipeline enhancements. -Integrate Snowflake Cortex capabilities where applicable to deliver advanced analytics and intelligent features that improve decision making and operational efficiency for business users. -Monitor data pipelines Snowflake workloads and AWS services using observability tools and metrics to proactively identify performance bottlenecks and capacity risks before they affect service level targets. -Document solution architectures data flows and operational runbooks in clear detail to support maintainability future enhancements and effective handover to support teams. -Collaborate with stakeholders including hotels domain professionals when available to align data solutions with industry specific metrics customer journeys and operational processes. -Guide peers and junior team members through constructive feedback technical reviews and knowledge sharing sessions to uplift overall engineering quality and adherence to architectural standards.

Qualification

Certifications Required

Nice to have Snowflake certification

Salary and Other Compensation:

The annual salary for this position is between $120-168Kdepending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law