Job Details

ID #31973728
State Pennsylvania
City Lancaster
Job type Contract
Salary USD Depends on Experience Depends on Experience
Source HL Solutions LLC
Showed 2022-01-18
Date 2022-01-10
Deadline 2022-03-11
Category Architect/engineer/CAD
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Senior Data Architect

Pennsylvania, Lancaster, 17601 Lancaster USA

Vacancy expired!

Senior Data Architect

Location: Lancaster, Pennsylvania, US

Job Description:The Principal Data Architect will provide leadership to developing and designing the Enterprise Data architecture, as well as patterns, solutions and standards that integrate multiple platforms and address scaling of capabilities including the management, movement, storage, access and security of data in modern ways. Apply advanced statistical data modeling techniques to large data sets to create actionable business insights- Use statistical analysis software packages and business intelligence and analytics platforms to create dashboards and reporting capabilities- Design, develop and deploy algorithms through statistical programming that: support complex business decision making, manage large amounts of data and create visualization and insights. Manage major/complex large projects and coaches, review and delegate work to entry/intermediate profession. MAJOR JOB DUTIES AND RESPONSIBILITIES (List in order of importance) Design scalable patterns and architecture to support both batch and real-time data products & platforms using big data technologies. Ensure physical and logical data models are designed to support future, unknown use cases with minimal rework. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming, data in-transit. Contribute to the direction, road map and standards for functional, process and technical Data solutions. Evaluate and advise on local or domain data architecture solutions for medium to large portfolio projects. Analyzing and translating business requirements into functional and technical requirements and design. Designing, implementing and analyzing high performing queries. Lead the way in creating next-generation talent, mentoring internal talent and help leadership in recruiting external talent. Help with intake prioritization. QUALIFICATIONS (Education/Training, Experience and Certifications) BA/BS in a related field or equivalent experience. Minimum of five years of related work experience. Five or more years of experience architecting and delivering Enterprise Data Solutions including Data Lakes, Data Warehouses and Data Pipelines. Experience with modern data movement, storage, management and security technology and tooling. Experience with at least one MPP database technology such as Snowflake Experience with modern engineering practices and how to use and apply them to Data Architectures and solutions. Experience with data modeling, data warehousing, and building high volume ETL/ELT pipelines. Experience with integration of multi cloud services with on-premise technologies. Experience in cloud data engineering on AWS. Understanding of metadata management, data lineage, and data glossaries is a plus. Understanding of agile development, including DataOps is a plus. Familiarity with business intelligence tools (PowerBI, Tableau) Exceptional collaboration skills.

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