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Database Architect
4 months ago
At Data Dynamics, we take a holistic approach to managing the explosive growth of unstructured data We care about delivering storage optimization and data optimization. Our Unified Unstructured Data Management Platform is an industry leader in Unstructured Data Management and our journey has just begun.
With over 300 clients operating in 6 continents, we have an enormous amount of F1000 user feedback. Like our clients, we believe in the power of Analytics
- Empower clients with metadata-based analysis, movement, management and content awareness for all unstructured data assets
- Deliver on existing SLA’s while improving existing CAPEX and OPEX unstructured data budgets
- Eliminate file type, storage or Cloud vendor lock-in with heterogeneous data movement, on-premise, on-premise to cloud or cloud to cloud
- Provide a NEW level of content insights to protect clients from unknown data exposure risks (GRC, PII, HIPAA, GDPR, etc.)
**Role**
As the Database Architect you will be responsible for designing the data layer of our new analytics platform and moving us to a new technology stack. You will design data patterns for better organization of the information that is collected across our entire Product Suite.
At Data Dynamics, Inc., we take pride in creating exceptional work experiences, encouraging innovation, and being involved with our employees and customers. If you are a customer-centric, passionate developer who feels strongly about building world class scalable data-driven software, we would like to talk to you.
**Responsibilities**
- Develop appropriate strategies and architectures for all our data needs across the entire Data Dynamics Product Suite
- Identify key data items within this strategy, develop optimal tag structures for collecting and analyzing these data items with the goal of providing maximal insights
- Assist the rest of the Software Development team in the implementation of these strategies within our platforms
- Analyze data trends to ensure and optimize the validity and reliability of these designs
- Create proof of concepts that can be leveraged across current and future releases
- Continuously innovate and strategize on making improving our data performance and resilience
**Required Skills and Experience**
- Bachelor’s degree, or the equivalent, in a specific specialty such as Computer Engineering, Computer Science, or equivalent
- Minimum of 12 years’ experience in Data Engineering
- Demonstrated experience architecting, implementing, and administrating an analytics platform using Azure Data Factory, Elasticsearch, SQL, SSAS, and other relevant technologies
- Strong database designing, DB modeling and DB management experience
- Hands on proficiency in SQL and NoSQL
- Experience with new databases like Elastic, Redis, MongoDB, PostgreSQL, Amazon Redshift or similar
- Familiarity with data processing platform like Apache Storm, Spark, Kafka, Flink
- Experience in data analysis, predictive modeling, and data mining techniques
- Up to date on the latest industry trends, able to articulate trends and potential clearly and confidently
- Excellent verbal and written communication skill
**Desired Skills and Experience**:
Experience with the usages of Star and Snowflake schemas to model warehouses
Strong data governance and data security skills is a plus
Experience with Hadoop Ecosystem to build a Big Data environment
Exposure to data analytics and visualization is preferable but not mandatory; experience establishing data lineage across multiple domain systems is preferable
