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Data Architect

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Offer summary

Qualifications:

9+ years of IT experience with a focus on data management., 5+ years managing Data Lakehouse environments, specifically with Azure Databricks and Snowflake., Bachelor’s degree in computer science or a related field is required., Strong understanding of data modeling, SDLC, Agile, and DevOps principles..

Key responsabilities:

  • Manage and oversee Data Lakehouse environments and data pipelines.
  • Design and develop data warehousing solutions using tools like Azure Databricks and Snowflake.
  • Ensure data quality and implement transformation techniques for data extraction.
  • Translate complex data architecture concepts into understandable briefings for stakeholders.

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Datavail http://www.datavail.com
1001 - 5000 Employees
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Job description

Job Description

Qualifications:

  • Overall 9+ years of IT experience
  • Minimum of 5+ years' preferred managing Data Lakehouse environments, Azure Databricks, Snowflake, DBT (Nice to have) specific experience a plus.
  • Hands-on experience with data warehousing, data lake/lakehouse solutions, data pipelines (ELT/ETL), SQL, Spark/PySpark, DBT,.
  • Strong understanding of Data Modelling, SDLC, Agile, and DevOps principles.
  • Bachelor’s degree in management/computer information systems, computer science, accounting information systems, computer or in a relevant field.

Knowledge/Skills:

  • Tools and Technologies: Azure Databricks, Apache Spark, Python, Databricks SQL, Unity Catalog, and Delta Live Tables.
  • Understanding of cluster configuration, compute and storage layers.
  • Expertise with Snowflake Architecture, with experience in design, development, and evolution
  • System integration experience, data extraction, transformation, and quality controls design techniques.
  • Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques.
  • Extensive experience with the medallion architecture data management framework as well as unity catalog.
  • Data modeling and information classification expertise at the enterprise level.
  • Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
  • Ability to assess rapidly changing technologies and apply them to business needs.
  • Be able to translate the information architecture contribution to business outcomes into simple briefings for use by various data-and-analytics-related roles.

About Us

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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