Senior Data Architect
Ridgefield Park, New Jersey, United States
Applications have closed
Samsung SDS America
Cloud Service Provider Leading Digital Transformation for ClientsSamsung SDS recently launched a customizable enterprise platform; the Samsung Cloud Platform offering cloud services optimized for the various business needs of corporate customers who demand security, safety, and availability within IT operations.
Samsung SDS America is looking for a Senior Data Architect with a unique blend of technical expertise and business acumen. Our ideal candidate has a strong background in big data analytics and cloud technologies. Successful candidate should have a deep understanding of data architecture and be proficient in designing and implementing cloud-based analytics solutions. You will collaborate with cross-functional teams to design and build scalable, secure, and high-performing analytics systems on cloud platforms.
Samsung SDS is the digital arm of the Samsung group and a global provider of cloud and digital transformation innovations. Samsung SDS delivers enterprise-grade solutions and services in cloud, secure mobility, analytics / AI, digital marketing and digital workspace. We enable our customers in government, financial services, healthcare, and other industries to drive business in a hyper-connected economy helping them to increase productivity, safeguard assets, and make smarter decisions.
Responsibilities
· Design robust cloud-based analytics solutions using Databricks, Snowflake, and other relevant technologies
· Experience creating Data & Analytics Proof of Concepts (PoC), Minimum Viable Products (MVPs) that lead to production deployments
· Translate business requirements into scalable and efficient cloud-based analytics architectures
· Lead and guide the development and implementation of analytics projects
· Evaluate and recommend new tools and technologies for the analytics practice
· Work closely with cross-functional teams to integrate analytics solutions into the data ecosystem
· Collaborate with stakeholders to understand business requirements and develop analytics strategies
· Optimize the performance of analytics solutions for scalability, reliability, and cost-effectiveness.
· Conduct regular assessments of existing architectures for improvements
· Implement and enforce security best practices for analytics solutions on the cloud
· Create comprehensive documentation for analytics architectures and best practices
· Provide technical guidance and support to the team in implementing cloud analytics solutions.
· Stay up-to-date with the latest trends and advancements in cloud analytics technologies
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 8+ years of experience with enterprise data management and architecture with software development background
- Extensive experience with cloud analytics platforms such as AWS, Azure, or Google Cloud
- Strong knowledge of big data technologies and frameworks, such as Hadoop, Spark, or Apache Kafka
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with data modeling, data warehousing, and ETL processes
- Strong understanding of data security and compliance standards
- Experience working directly with stakeholders with different levels of technical understanding
- Understanding of AI/ML platforms and data requirements for AI/ML models development
- Excellent problem-solving and analytical skills
- Ability to work collaboratively in cross-functional teams
- Excellent communication and presentation skills
- Ability to multitask and prioritize tasks effectively
- Experience in the healthcare or financial services industry is a plus
Benefits
Samsung SDSA offers a comprehensive suite of programs to support our employees:
- Top-notch medical, dental, vision and prescription coverage
- Wellness program
- Parental leave
- 401K match and savings plan
- Flexible spending accounts
- Life insurance
- Paid Holidays
- Paid Time off
- Additional benefits
Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.
We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request to this e-mail.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Computer Science Data Analytics Databricks Data management Data Warehousing Engineering ETL GCP Google Cloud Hadoop Java Kafka Machine Learning ML models MVP Python Scala Security Snowflake Spark
Perks/benefits: 401(k) matching Flex hours Flex vacation Health care Insurance Medical leave Parental leave Wellness
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