Snowflake Architect

Cognizant Technology Solutions Sweden AB

About Cognizant Cognizant is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes, and transform experiences so they stay ahead in a fast-changing world. With over 300,000 associates globally, Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. We are consistently listed among the most admired companies in the world and among the best companies to work for. Our culture is built on a foundation of transparency, inclusion, and collaboration — empowering our people to grow and thrive both professionally and personally. At Cognizant, you won't just be part of a company; you'll be part of a community that is shaping the future of industries across the globe. Role Overview We are looking for an experienced ODI Architect to lead the design and implementation of enterprise-grade data integration solutions. In this role, you will be responsible for shaping scalable data architectures, optimizing performance, and supporting large-scale data migration and modernization initiatives. You will work closely with cross-functional teams to ensure that data integration platforms are robust, efficient, and aligned with evolving business and cloud strategies. Key Responsibilities Lead the architecture and design of ODI-based data integration solutions Define and implement ETL/ELT frameworks, standards, and best practices Design and govern data migration strategies across enterprise systems Oversee setup, configuration, and management of ODI environments (Dev/Test/Prod) Optimize performance of ODI mappings, packages, and workflows Ensure data quality, security, and governance compliance across solutions Collaborate with data architects, engineers, and business stakeholders Support cloud migration initiatives and modernization programs Provide technical leadership and mentoring to development teams Required Experience & Skills Proven experience working with Oracle Data Integrator (ODI) Strong expertise in SQL, PL/SQL, and relational databases Solid understanding of data warehousing concepts (CDC, SCD, data modeling) Experience designing and delivering ETL/ELT and data integration solutions at scale Hands-on experience with data migration approaches (full load, incremental, delta processing) Exposure to cloud platforms (e.g., AWS, Azure, GCP, Snowflake) Strong understanding of data governance, quality, and compliance principles Preferred Qualifications Experience with Informatica IDMC or similar modern data integration platforms Knowledge of automation and scripting (Shell, Python, Groovy) Familiarity with data pipeline orchestration tools Experience in large-scale data warehouse transformations or cloud migrations Experience Level Typically 10+ years in data engineering, integration, or related roles Prior experience in an architect or technical leadership capacity Additional employment information 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. 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 submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Cognizant Technology Solutions Sweden AB

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information. Key Responsibilities: Analyse business requirements and translate them into technical solutions. Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake. Optimize migration processes ensuring data integrity, accuracy, and performance. Create and manage Snowflake objects (tables, views, schemas, stages, procedures). Implement partitioning, clustering, and performance tuning strategies. Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel Develop and maintain data models, schemas, and stored procedures in Snowflake SQL Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization. Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc). Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility. Develop reusable scripts for automation of migration tasks (Python, Shell etc.). Conduct data reconciliation between Teradata and Snowflake post-migration. Work closely with data architects, analysts, and business stakeholders to understand requirements Document migration processes, best practices, and technical solutions. Technical Skills: Strong hands-on experience with Snowflake cloud data warehouse. Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks. Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.). Knowledge of DevOps and CI/CD practices for data pipelines and workflows. Experience in data engineering or database development, particularly with data migrations. Experience in different batch processing and data loading/transformation strategies. Proficiency in scripting for automating regular or repeating task (python, shell scripting etc). Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT). Experience in analysing and converting Teradata-specific functions to Snowflake equivalents. Strong problem-solving and analytical skills. Snowflake SnowPro Certification is a plus Experience in banking and financial services will be preferred. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. 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 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com 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. 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.

Deer Data AB

About Deerdata Deerdata AB is a Stockholm-based data & AI consultancy. We design and build modern data platforms, analytics solutions, and AI capabilities for clients across automotive, telecommunications, retail, and business process outsourcing industries. We're a tight team with short decision paths and a collaborative engineering culture. The role We're hiring a Senior Data Engineer to build and maintain data pipelines and platform infrastructure for our clients. You'll work with modern tooling, lead technical delivery, and help shape our data engineering practice. What you'll do: Design and develop data pipelines. Build and maintain dbt transformation models. Work with Azure or similar data services. Manage infrastructure with Infrastructure as Code (Terraform, Bicep, or equivalent). Implement data quality, monitoring, and CI/CD for data workflows Collaborate with analysts, architects, and client stakeholders Apply AI/ML and GenAI techniques to data platforms — from automation and intelligent pipelines to LLM-powered tooling and agentic workflows Mentor junior engineers and contribute to technical direction What we're looking for: 5–10 years of data engineering experience Consulting experience — comfortable in client-facing roles, delivering on engagements Deep expertise in Azure cloud data services or similar (AWS, GCP). Strong proficiency with Databricks and Apache Spark or similar (Snowflake, BigQuery, Redshift etc). Advanced SQL and Python skills Experience with Scala for Spark development Proficiency in dbt (or equivalent transformation frameworks) Experience with Infrastructure as Code (Terraform, Bicep, ARM, or similar) Solid understanding of data modelling and warehouse design Experience with cloud platforms (AWS, GCP) — multi-cloud familiarity valued Interest and experience in AI/ML and GenAI — LLMs, intelligent automation, agentic workflows, or MLOps Fluent English (Swedish a plus) What we offer: Start: August/September, 2026 (or by agreement) Type: Full-time, permanent (tillsvidare) Location: Solna, Stockholm