DataArt

Data Architect, Professional Certification (Lithuania)

Added 2 months ago

Seniority level:

Specialist

Skills:

Tableau , 2 yrs.
AWS , 4 yrs.

Languages:

English B1 - Intermediate
Experience:
5 yrs. minimum in Engineering
Monthly salary (gross):
6500 - 7400 €
Contract type:
Full-time
Location:
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena
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Job description

Project overview

One of the largest professional certification associations in the global finance industry uses DataArt as its primary technology partner. The Product Catalog Enhancement and Migration to AWS project is a strategic initiative aimed at optimizing our product catalog management and modernizing our data infrastructure.


This project is designed to improve the accuracy, accessibility, and scalability of our product data, with a primary focus on migrating our existing catalog to Amazon Web Services (AWS) for enhanced performance and flexibility.


One of the largest professional certification associations in the finance industry globally uses DataArt as its primary technology execution and development partner. This highly prestigious and recognizable organization has thousands of certified members worldwide and has dramatically grown its reliance on DataArt over the past year.


We are looking for a specialist based in Lithuania to join our team.

Responsibilities

  • Lead the design and development of a comprehensive data architecture that includes product catalog management, data modeling, and data flow optimization
  • Define and enforce data architecture best practices and standards within the organization
  • Collaborate with cross-functional teams to create and maintain product catalogs, ensuring data accuracy, consistency, and accessibility
  • Implement effective data governance and data quality processes for product data
  • Utilize your in-depth knowledge of AWS services to design and optimize data solutions in a cloud environment
  • Leverage AWS data services such as AWS Glue, and Amazon S3 for data storage and analytics
  • Oversee data integration efforts, ensuring seamless data flow between various systems and applications
  • Work closely with software engineers to enable data-driven application features
  • Implement data security measures and ensure compliance with data protection regulations (e.g., GDPR) and industry standards Establish data access controls and encryption strategies. Identify and address performance bottlenecks in data processes and queries
  • Optimize data storage and retrieval for improved system efficiency


  • Minimum of 5 years of experience as a Data Architect, with a focus on product catalog management
  • Proficiency in AWS, including hands-on experience with relevant AWS services. Strong data modeling skills and knowledge of database management systems (e.g., SQL, NoSQL)
  • Experience with Big Data Platforms, Data Warehousing, Data Lake, Data Mart, Data Hub concepts
  • DWH/Data Platforms experience (Snowflake)
  • Software development background is a plus (Python)
  • In-depth understanding of database structure principles
  • Knowledge of data mining and segmentation techniques
  • Familiarity with data governance, data quality, and data integration best practices
  • Familiarity with data visualization tools (e.g. Tableau, D3.js, and R)
  • Excellent problem-solving and analytical abilities
  • Strong communication and collaboration skills to work effectively with cross-functional teams
  • Spoken English


Requirements

  • Minimum of 5 years of experience as a Data Architect, with a focus on product catalog management
  • Proficiency in AWS, including hands-on experience with relevant AWS services. Strong data modeling skills and knowledge of database management systems (e.g., SQL, NoSQL)
  • Experience with Big Data Platforms, Data Warehousing, Data Lake, Data Mart, Data Hub concepts
  • DWH/Data Platforms experience (Snowflake)
  • Software development background is a plus (Python)
  • In-depth understanding of database structure principles
  • Knowledge of data mining and segmentation techniques
  • Familiarity with data governance, data quality, and data integration best practices
  • Familiarity with data visualization tools (e.g. Tableau, D3.js, and R)
  • Excellent problem-solving and analytical abilities
  • Strong communication and collaboration skills to work effectively with cross-functional teams
  • Spoken English


We offer

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

Apply for the vacancy

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com

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Founded in 1997
Employees 5000
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About DataArt

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries.

We are a global team of over 5,000 specialists across 30+ locations, with 32% women and 48% senior-level professionals. Our expertise spans Custom Software Engineering, AI/ML Innovation, Data & Analytics, and Cloud Transformation to drive business growth and efficiency.

DataArt cooperates with innovative startups and respected top companies, including Nasdaq, Skyscanner, Ocado, Doddle, Travelport, Meetup, Rappi, Betfair, and others. Our headquarters are located in New York.

The DataArt R&D Center in the Baltics has a team of about 56 professionals specializing in Java, JavaScript, .NET, DevOps, Data Engineering, Business Analysis, and other areas.

DataArt is deeply committed to actively supporting Ukraine.

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