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Job Title

Tech Lead, Data Architecture

What does a successful Snowflakes Advisor do?

We are seeking a highly skilled and experienced Snowflake Advisor to take ownership of our data warehousing strategy, implementation, maintenance and support. In this role, you will design, develop, and lead the adoption of Snowflake-based solutions to ensure scalable, efficient, and secure data systems that empower our business analytics and decision-making processes.

As a Snowflake Advisor, you will collaborate with cross-functional teams, lead data initiatives, and act as the subject matter expert for Snowflake across the organization.

What you will do:

Define and implement best practices for data modelling, schema design, query optimization in SnowflakesDevelop and manage ETL/ELT workflows to ingest, transform and load data into Snowflakes from various resourcesIntegrate data from diverse systems like databases, API`s, flat files, cloud storage etc. into Snowflakes.Using tools like Streamsets, Informatica or dbt to streamline data transformation processes

Monitor or tune Snowflake performance including warehouse sizing, query optimizing and storage management.

Manage Snowflakes caching, clustering and partitioning to improve efficiencyAnalyze and resolve query performance bottlenecksMonitor and resolve data quality issues within the warehouseCollaboration with data analysts, data engineers and business users to understand reporting and analytic needsWork closely with DevOps team for Automation, deployment and monitoringPlan and execute strategies for scaling Snowflakes environments as data volume growsMonitor system health and proactively identify and resolve issuesImplement automations for regular tasksEnable seamless integration of Snowflakes with BI Tools like Power BI and create DashboardsSupport ad hoc query requests while maintaining system performanceCreating and maintaining documentation related to data warehouse architecture, data flow, and processesProviding technical support, troubleshooting, and guidance to users accessing the data warehouseOptimize Snowflakes queries and manage PerformanceKeeping up to date with emerging trends and technologies in data warehousing and data managementGood working knowledge of Linux operating systemWorking experience on GIT and other repository management solutionsGood knowledge of monitoring tools like Dynatrace, SplunkServe as a technical leader for Snowflakes based projects, ensuring alignment with business goals and timelinesProvide mentorship and guidance to team members in Snowflakes implementation, performance tuning and data managementCollaborate with stakeholders to define and prioritize data warehousing initiatives and roadmaps.Act as point of contact for Snowflakes related queries, issues and initiatives

What you will need to have:

Must have 8 to 10 years of experience in data management tools like Snowflakes, Streamsets, InformaticaShould have experience on monitoring tools like Dynatrace, Splunk.Should have experience on Kubernetes cluster managementCloudWatch for monitoring and logging and Linux OS experienceAbility to track progress against assigned tasks, report status, and proactively identifies issues.Demonstrate the ability to present information effectively in communications with peers and project management team.Highly Organized and works well in a fast paced, fluid and dynamic environment.

What would be great to have:

Experience in EKS for managing Kubernetes clusterContainerization technologies such as Docker and PodmanAWS CLI for command-line interactionsCI/CD pipelines using HarnessS3 for storage solutions and IAM for access managementBanking and Financial Services experienceKnowledge of software development Life cycle best practices

Thank you for considering employment with Fiserv.  Please:

Apply using your legal nameComplete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.