Data Architect Technical
Poland, Serbia, Georgia, LATAM, Remote
Customertimes is a global IT consulting company headquartered in New York City with offices in 12 countries. We specialize in the development and implementation of cutting-edge technology solutions for business transformation. Our international team includes 1300+ skilled professionals. We have more than 15 years of experience in the Salesforce ecosystem, and our portfolio includes 4000+ completed projects in more than 65 countries.
Customertimes is a global IT consulting company headquartered in New York City with offices in 12 countries. We specialize in the development and implementation of cutting-edge technology solutions for business transformation. Our international team includes 1300+ skilled professionals. We have more than 15 years of experience in the Salesforce ecosystem, and our portfolio includes 4000+ completed projects in more than 65 countries.
Job Description
We are looking for an experienced, dedicated, and well-organized Data Architect Technical join one of our teams at Customertimes!
Qualifications
Main Qualifications
- 5+ years of experience as Data Architect or Data Lead/Manager (or comparable roles)
- Databricks deep knowledge
- Azure Cloud hands-on experience (ADLS Gen2, Azure Data Factory, etc ..)
- Data modeling expertise (logical, physical)
- Being able to challenge established approaches/patterns to support future business changes and potential new business domains
Optional
- DBT hands-on experience (desirable, optional)
- Snowflake experience (desirable, optional)
- English – Upper intermediate,
- Good communication skills (both verbal and written)
- Ability to work in a global multi-cultural multi-national company;
- Good communication skills and persuasiveness;
- Ability to lead conversations with both technical and business representatives;
- Proven ability to work both independently and as a part of an international project team.
Responsibilities
- Supervising Customertimes consultants (data engineers, data analysts, etc) engaged in different projects on the client side (global CPG enterprise)
- Overall data architecture review and improvements (including simplification) – Databricks, Snowflake, DBT, Azure Data Factory, Airflow, Azure Data Lake Storage Gen2
- Data Governance collaboration – data quality, data catalog, etc
- Be able to step-in into data engineer/analyst duties when needed
Working Conditions
- Financial stability and competitive compensation depending on experience and skills
- B2B contract
- Social package – Private Medical Healthcare
- Transparentprofessional and career growth development plans Buddy system
- Flexible work schedule
- 20 working days of paid vacation leave
- 5 days off on demand
- 15 working days of paid sick leave with a certificate
- 4months of paid Maternity Leave on B2B
- Referral Program
- Access to Language Learning Platform goFluent
- Additional training and certifications
- Friendly team and pleasant working environment