Job Description & How to Apply Below
Job Description:
Data Architect (Azure / GCP/ Databricks)
About Us:
Niveus Solutions is a dynamic and innovative organization dedicated to leveraging data to drive business growth and decision-making. We are seeking a highly skilled Senior Data Architect to join our team and play a pivotal role in designing, building, and maintaining robust data platforms on Azure and GCP.
Responsibilities:
Solutioning and Consultation Data Architecture:
Develop and implement comprehensive data architectures, including data warehouses, data lakes, and data lake houses, on Azure and GCP platforms.
Data Modeling:
Design and create data models that align with business requirements and support efficient data analysis and reporting.
ETL/ELT:
Develop and optimize ETL/ELT pipelines using tools like Databricks, Azure Data Factory, or GCP Data Fusion to extract, transform, and load data into various data stores.
Data Warehousing:
Design and implement scalable data warehouses on Azure Synapse Analytics or GCP Big Query to support enterprise reporting and analytics.
Data Lake houses:
Design and implement data lake houses on Azure Databricks or GCP Dataproc to enable unified data management and analytics.
Hadoop Ecosystem:
Leverage Hadoop components (HDFS, Map Reduce, Spark) for distributed data processing and analysis.
Data Governance:
Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance.
Scripting:
Write scripts using languages like Python, SQL, or Scala to automate data tasks and integrate with other systems.
Cloud Platform Expertise:
Deep understanding of Azure and GCP cloud platforms, including their data services, storage options, and compute resources.
Team Leadership:
Mentor and Coach junior data architects and data engineers.
Collaboration:
Collaborate with business stakeholders, data analysts, and software developers to understand data requirements and deliver solutions.
Qualifications:
Bachelor's degree in Computer Science, Data Science, or a related field.
5+ years of experience in data architecture, data warehousing, and data lakehouse implementation.
Strong proficiency in Azure and GCP data services, including Azure Synapse Analytics, Azure Databricks, GCP Big Query, snowflake, databricks and GCP Dataproc.
Expertise in ETL/ELT tools and techniques.
Solid understanding of Hadoop components and distributed data processing.
Proficiency in scripting languages like Python, SQL, and Scala.
Experience with data governance and compliance frameworks.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
Bonus Points:
Certifications in Azure Data Engineer Associate or GCP Data Engineer.
Experience with real-time data processing and streaming technologies wledge of data governance, data security, and compliance frameworks.
Experience with data visualization tools like Power BI, Tableau, or Looker.
Familiarity with machine learning and artificial intelligence concepts.
Knowledge of cloud-native data platforms and technologies.
If you are a passionate data architect with a proven track record of delivering successful data solutions, we encourage you to apply. Join our team and make a significant impact on our organization's data-driven journey.
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