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Data Solution Architect

2 months ago

india Dhira Full time

Job Description: Data Solution Architect  


Experience:  


  • Minimum 10 years of experience in data architecture and solution design. 


Responsibilities:  


  • Architect and design comprehensive data solutions tailored to meet client needs and business goals. 
  • Develop scalable and efficient data pipelines across multiple platforms, ensuring high availability and performance. 
  • Evaluate and recommend data storage and processing technologies to best suit project requirements. 
  • Implement and oversee data governance and master data management frameworks to ensure data integrity and compliance. 
  • Provide leadership and expertise to the data team, mentoring on advanced data architecture practices. 
  • Collaborate with business stakeholders to understand requirements and develop effective data strategies. 
  • Stay abreast of developments in data technologies and methodologies, continuously enhancing personal and team capabilities. 

Key Qualifications:  


  • Expert in data modeling principles such as ER Modeling, Dimensional Modeling, Graph DB Modeling, and JSON Modeling. 
  • Thorough understanding of various database systems (SQL, NoSQL, Graph, JSON) and capable of selecting the appropriate type based on specific use cases. 
  • Proficient in designing and implementing data pipelines for both batch and real-time processing across on-premises and cloud environments (AWS, Azure, GCP). 
  • Skilled in using both native cloud services and open-source alternatives for designing data solutions, with the ability to critically compare different platforms. 
  • Knowledgeable in Master Data Management (MDM) and Data Governance, with proven experience in implementing these strategies to improve data quality and compliance. 
  • Familiar with both modern and legacy data architectures, including Data Lakes, Lakehouses, and traditional data warehouses. 
  • Experience with big data technologies (Hadoop, Spark, Flink) and streaming data platforms (RabbitMQ, Kafka, Kinesis). 
  • Proficient in data security measures, including data encryption at rest and in transit, and understanding of data privacy and compliance standards across various jurisdictions. 
  • Experience with NoSQL databases like Cassandra, HBase, and DynamoDB, and understanding their specific use cases. 


Desired Traits:  


  • Deep understanding of data strategy and its alignment with business objectives. 
  • Exceptional problem-solving skills and analytical mindset, capable of innovating data solution designs. 
  • Leadership abilities to mentor and guide teams, ensuring adherence to best practices in data solution implementation. 
  • Commitment to continuous learning and staying updated with the latest trends and technologies in data architecture. 
  • Strong communication skills to effectively collaborate with stakeholders and translate business needs into robust technical solutions. 

Education:  


  • Bachelor’s degree in Computer Science, Engineering, or a related field. 

 


  • This role is ideal for a strategic thinker with a deep technical background in data architecture, passionate about designing cutting-edge data solutions that drive significant business value. 

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