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Data Migration Architect

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Location: Warsaw - Hybrid (minimum 3 days at the office)

What we do:

At Cognizant, we are dedicated to helping the world's leading companies build stronger businesses — helping them go from doing digital to being digital. In Poland, our offices are in Gdańsk, Wroclaw, and Kraków. However proposed offer is based in the Client office based in Warsaw. With the capacity to support various clients, we offer a world of opportunities for both professionals and graduates. You can expect five-star training, a chance to realize your career goals, and a range of benefits. Be Cognizant!

About the role:

We're looking for a highly skilled Data Migration Architect to join our dynamic team. In this pivotal role, you'll design and implement comprehensive data migration projects, ensuring a seamless and efficient shift to the cloud-based Snowflake platform. This is an exceptional opportunity to leverage your profound understanding of Snowflake, data warehousing concepts, and cloud-based data architectures to deliver innovative solutions that directly enhance user experience and business operations.

About the Team
Our team collaborates with all major hyperscalers and leading software vendors in the data and AI space, including AWS, Microsoft, Google, Snowflake, and Databricks. We are committed to leveraging the best tools and technologies to deliver scalable, secure, and efficient solutions. Supported by dedicated Centers of Excellence, we provide specialized expertise and resources to meet unique client needs and drive innovation in AI and data effectively. Our commitment extends to enhancing digital maturity, driving innovation through continuous investment in AI (including our Neuro AI platform), promoting sustainability, and fostering strong partner collaborations.

Your Role and Responsibilities:
As a Data Migration Architect specializing in Teradata to Snowflake migration, you will be responsible for designing and executing end-to-end data migration projects.

This includes:

  • Leading Data Migration Strategies: Design and execute large-scale data migration strategies across cloud and hybrid environments.
  • Architecting Data Pipelines: Create secure, scalable, and high-performance data pipelines to support enterprise data modernization initiatives.
  • Legacy System Assessment: Analyze current data architectures and workloads to design optimal Snowflake migration solutions.
  • Seamless Data Transfer: Develop and execute migration strategies for high-volume data, minimizing downtime and ensuring data integrity.
  • Stakeholder Collaboration: Work closely with data engineers, business analysts, and IT teams to understand requirements and provide guidance on Snowflake best practices.
  • Optimization: Optimize Snowflake workloads, including query performance tuning, data model optimization, and managing storage costs.
  • Data Governance & Security: Enforce data governance policies, ensure compliance with security and regulatory standards, and manage metadata.
  • Best Practices: Implement best practices for data quality, lineage, and overall data lifecycle management.

What You'll Bring:
Mandatory Skills:

  • Cloud Data Platforms: Deep expertise in Snowflake / Databricks (Delta Lake, Unity Catalog, Lakehouse architecture).
  • Data Migration Tools: Experience with tools like Azure Data Factory, IDMS, or custom migration frameworks.
  • ETL/ELT Development: Designing and orchestrating pipelines using Apache Spark, ADF, or Databricks Workflows.
  • SQL & Performance Tuning: Advanced SQL for data transformation, optimization, and troubleshooting.
  • Data Modeling: Proficiency in dimensional modeling, data vault, and schema design for analytical workloads.
  • Programming/Scripting: Hands-on experience with Python, Scala, or SQL for data engineering and automation.
  • Data Governance & Security: Implementing RBAC, data masking, auditing, and compliance frameworks.
  • Monitoring & Optimization: Experience with tools like Datadog, Azure Monitor, or Snowflake Query Profiler for performance tuning.
  • Proven experience leading end-to-end migration of data and workloads from on-premises data platforms (e.g., Oracle, SQL Server, Teradata) or cloud-based systems to Snowflake.
  • Experience migrating legacy/on-prem ETL/ELT workloads to modern ETL/ELT solutions (e.g., Matillion, Fivetran, dbt).

Nice to Have / Your Chance to Grow:

  • Snowflake certification (e.g., SnowPro Core, SnowPro Advanced).
  • Experience with at least one ETL/ELT tool like SSIS, Talend, or Informatica.
  • Knowledge of data modeling and schema design specifically in Snowflake.
  • Familiarity with CI/CD pipelines for data engineering.
  • Enterprise sales/pre-sales/solutions background is a plus.

What we offer:

  • Competitive salary with cafeteria benefits and bonuses
  • Opportunity to be part of a rapidly expanding global organization
  • Pleasant and inspiring working atmosphere
  • Professional development and clear career path
  • Training & development opportunities
  • Private healthcare and additional life insurance
  • Employee volunteering programs and opportunities
  • Inclusion and diversity in practice
  • Employee referral program in place

For more information about Cognizant, visit https://www.cognizant.com/en-pl/

If you are looking for another opportunity and are interested in the company, do not hesitate to apply online!
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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About us

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world.

Learn how Cognizant helps clients lead with digital at www.cognizant.com.

What we offer

  • The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
  • Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
  • The opportunity to thrive on a high-caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
  • A comprehensive total rewards package, including a competitive salary and pension plan with matching contributions.
  • Flexible health and financial benefits to support you and your eligible dependents—from day one.
  • True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.  

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or apply, please email [email protected] with your request and contact information.

Disclaimer:
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview.

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