Data Architect

Key Skills

Apache Hadoop, Azure, Containerization, Data Architecture, Data Lake, Data management, Data Mining, Data Modeling, Data Warehousing, Deep Learning, Machine learning techniques, Microsoft Project, NoSQL, PowerBI, R Programming, Spark-SQL, Synapse

Job Description

Job Responsibilities:

At this position you’ll be in charge of integrations, reporting, statistical analysis, using machine learning, as well as data structures for extended functionality, to ensure normalization and a future-proof approach.

• Ability to lead/identify business requirements and determine operational impacts and needed system changes

• Ability to understand and be responsive to customer needs and to advocate for customer success

• Ability to work independently and as part of a distributed team and a willingness to take ownership of problems

• Prior experience in the Automotive industry domain would be advantageous

• Excellent interpersonal, communications, and presentation skills

• Proven ability to rapidly learn new data technologies

Qualification

• 10 + years of hands-on experience in data modeling, data management practices

• Bachelor’s degree in a technical field, or equivalent combination of education, training & experience

• Integrations: custom end-points architecture, be in charge of mapping the bulk-data-load endpoints.

• Reporting: In charge of data lake hydration strategy and scope.

• Experience with Azure Microsoft Data platform (Microsoft Azure Data Services).

• Experience with Azure Synapse/Data lake/Data warehouse. SSRS, PowerBI, R, SQL, NOSQL, X++ is a +

• Ability to quickly grasp existing data structures

• Experience working with heterogeneous datasets

• Recommend appropriate technologies to enable strategic data management, model management, and risk considerations

• Familiarity with data tools and computing platforms (e.g., Hadoop, Containers, etc.)

• Identify gaps in data to support requests and deliver business value

• Experience in delivering solutions using relational and NoSQL databases

• Knowledge of data mining, machine learning, deep learning

• Define technical requirements and solutions based on best practices

Expected Salary Range: $150,000.00-$ 190,000.00 a year.

Additional compensation: Salary is one part of total compensation which includes bonuses, equity awards as applicable, and benefits. An employee is eligible to participate in Frisker's equity program, subject to the rules governing such programs.

Benefits: Fisker provides comprehensive medical, prescription, dental, vision, and disability insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Fisker covers most of the premiums for employees.

The salary offered may vary depending on multiple individualized factors including market location, job-related knowledge, education/training, certifications, key skills, experience, internal peer equity as well as business considerations. Fisker reasonably and in good faith expects to pay for the position within the salary range listed, taking into account the wide variety of factors listed above

Fisker Group Inc. (“Fisker”) is an Equal Opportunity Employer. Employment at Fisker is governed by merit, qualifications, and professional competence. Fisker does not discriminate against any employee or applicant because of race, creed, national origin/ethnicity, color, religion, gender identity/expression, sexual orientation, marital status, age, veteran status, disability status, genetic information, pregnancy or related conditions, or any other basis protected by law.

Applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department