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Data Architect

Role overview

Qualifications

  • 5+ years of experience as a Data Engineer
  • Strong experience with Azure Data Factory, Azure Synapse, and Azure SQL/Databricks
  • Solid expertise in ETL/ELT processes and data pipeline design
  • Proficiency in SQL and Python for data processing and analysis

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and related tools
  • Develop and optimize data warehouses in Azure Synapse, including dimensional modeling (star schema)
  • Define and implement end-to-end data architecture for modern cloud data platforms (Azure, Snowflake)
  • Ensure data quality, integrity, and availability through proper data cleansing, normalization, and integration

About the company

NEWTON VISION CORP logo

NEWTON VISION CORP

Our company specializes in Business Process Outsourcing (BPO), fractional CFO and CTO services, revenue generation strategies, custom software development, digital transformation solutions, management and financial consulting, revenue analytics and optimization, and the development of Centers of Excellence.

Company details

Company size51 - 200

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Job description

As a Senior Data Engineer, you will be responsible for developing, maintaining, and optimizing data systems in an Azure cloud environment. You will work closely with software developers, architects, and stakeholders to ensure high data quality and deliver advanced data-driven solutions.

Responsibilities:

  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and related tools.
  • Develop and optimize data warehouses in Azure Synapse, including dimensional modeling (star schema).
  • Define and implement end-to-end data architecture for modern cloud data platforms (Azure, Snowflake).
  • Administer and optimize databases, including performance tuning, query optimization, indexing, and monitoring.
  • Ensure data quality, integrity, and availability through proper data cleansing, normalization, and integration.
  • Implement data security best practices, including encryption, masking, and access control in Azure.
  • Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost-efficiency.
  • Collaborate with stakeholders to translate business needs into technical solutions and support data-driven initiatives.
  • Support analytics and data science use cases by preparing and transforming data for reporting and modeling.

Candidate Qualifications:

  • 5+ years of experience as a Data Engineer.
  • English level: B2+/C1.
  • Strong experience with Azure Data Factory, Azure Synapse, and Azure SQL/Databricks.
  • Solid expertise in ETL/ELT processes and data pipeline design.
  • Strong background in data warehousing and dimensional modeling (star schema).
  • Proven experience in database administration (DBA): performance tuning, query optimization, indexing, and security.
  • Experience designing data architecture in Azure (storage, processing, security).
  • Proficiency in SQL (critical) and Python for data processing and analysis.
  • Knowledge of OLAP, MOLAP, and ROLAP concepts.
  • Experience with Power BI or similar BI tools.
  • Familiarity with Snowflake and modern cloud data ecosystems is a plus.
  • Strong communication skills and ability to work with cross-functional teams.

We offer:

  • Competitive salary commensurate with experience.
  • Remote work opportunity.
  • End-of-year bonus opportunities (relative to application date).
  • 3 weeks of paid vacation (after completing one year with the company).
  • Access to career development programs and learning opportunities.

If you have the experience and the knowledge necessary to carry out the responsibilities of this position, apply, and we'll help you in your first steps to being part of the NVC career network!

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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