Data Database Architect job vacancy

Vacancy expired!

Job Title: Data / Database Architect

Location: Boston, MA (Hybrid, 1 day work from office)

Duration: 12+ Months

Basic qualifications

Bachelor’s degree in computer engineering, computer science, information systems, or related field.
10+ years in enterprise, application and information data architecture design.
Knowledge of Vertica columnar database experience
Data Architect experience in the Life Insurance domain
Experience with AWS
Understanding of Life Insurance data models / industry standards
Ability to clearly present to senior management with confidence.
Database and application development experience in relational databases and cloud technologies.
Understanding of big data technologies; Data Lake and Big Data modeling experience.
Experience data modeling in transactional and operational reporting and analytical (EDW, Data Lake, NoSQL) solutions.
Experience with capacity planning, database scripting and package deployment.
Experience with data replication methodology; Master Data Management; Managing Reference Data
Experience with data warehouse, Data Mart, or Data Lake.
Expertise in tuning and debugging SQL and resolving application specific bottlenecks.
Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling.
Working knowledge of data security frameworks, data quality frameworks, metadata management & data catalogs and data governance frameworks.
Authorized to work in the United States with or without sponsorship now or in the future.

Preferred qualifications

Advanced degree in computer engineering, computer science, information systems, or related field.
Able to work independently.
Experience with Hadoop, Spark, and Kafka is a plus.
Experience with Scala is a plus.
Strong communication and interpersonal skills.
Experience facilitating meetings and providing presentations to stakeholders and senior leaders.
Excellent communication, problem solving, organizational and analytical skills.
Understanding of enterprise and reporting modeling concepts, including dimensional modeling, snowflakes, slowly changing dimensions, schema on read, irregular dimensions, and surrogate, compound, and intelligent keys.
Ability to articulate the value of getting solutions built using established data principles.
Data Modeling, Data Warehousing, Dimensional Modeling, Data Modeling for Big data and Metadata Management.
Experience in data modeling and design in the insurance and financial industries.
Advanced knowledge of application, data, and infrastructure disciplines.
Ability to develops prototypes of the system design and works with database, operations, technical support and other IT areas as appropriate throughout development and implementation processes.

Thanks & Regards,

Satya KExecutive – US RecruiterDirect:&nbsplt;/p>Email:

Data /Database Architect