Data Architect

Job Title: Data Architect

Location: Newark NJ - Hybrid 2-3 Days In Week    

Duration: 12 Months 

Your Required Skills:

• 10 years of experience of programming experience in Python or Java with the last five years in Python.
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Proven experience as a Data Architect, with a focus on designing and implementing cloud-based data solutions.
• Strong expertise in AWS cloud platforms including services like S3, Redshift, Aurora, Glue, EMR, Event-Bridge, Lake formation, etc.
• Proficiency in SQL, data querying, and performance optimization techniques.
• Familiarity with cloud infrastructure technologies like containers, Kubernetes, and serverless computing.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong experience with data structures, data modeling, data lineage, and data catalogs.
• Streaming or messaging knowledge with Kafka or Kinesis
• Experience with data security and privacy in the cloud, including encryption, access controls, and compliance with data protection regulations.
• Experience with Snowflake is highly desirable
• Certifications in cloud platforms or data management (e.g., AWS Certified Solutions Architect, etc.) are highly desirable.

Your Impact:

• Design and implement data models that reflect business requirements and ensure optimal performance, scalability, and data integrity in the cloud environment.
• Data Integration: Develop strategies and solutions for integrating data from various sources into the cloud, ensuring data consistency, quality, and real-time availability for analysis and reporting purposes.
• Help drive transformation of legacy platforms to modern cloud native technology and storage solutions
• Design and build out new, scalable data lakes, data warehouses and data marts from scratch.
• Design and architect cloud-based data solutions, including data storage, data processing, and data analytics platforms, utilizing Amazon Web Services (AWS).
• Create new approach to migrate data between various database platforms.
• Partner closely with data engineering function to architect best practice data ingestion, storage, and distribution practices for application consumption and data management at large scale.
• Align with development teams to create database/schema, structures
• Participate in the creation of the long-term strategy to optimize data environment.
• Collaborate with cloud infrastructure teams to optimize the performance, scalability, and cost-efficiency of cloud-based data solutions, leveraging features and services provided by the cloud platforms.
• Establish and enforce data governance policies and practices in the cloud environment, including data classification, metadata management, and data lifecycle management.
• Collaboration and Leadership: Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and provide technical guidance and leadership in implementing cloud data solutions.
• Stay up to date with the latest cloud technologies, tools, and services, and evaluate their suitability for meeting business needs. Recommend and implement new technologies to enhance the organization's cloud data capabilities.
• Documentation and Communication: Document cloud data architectures, processes, and best practices. Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Implement robust security measures and data protection mechanisms to ensure the confidentiality, integrity, and availability of sensitive data in the cloud. Ensure compliance with relevant data privacy regulations.