Data Architect

Remote, USA

Applications have closed

Qcells

Qcells | We create renewable products, and services to deliver clean power for all

View company page

As Data Architect, you will play a key role in establishing and implementing our data strategy. This role will be responsible for high quality data models, data management and presentation, data engineering, vendor evaluation, cloud warehouse evaluation and developing data catalog.  The candidate should be a highly organized and creative thinker who can perform as a lead technologist to assess and design data solutions and interface. The Data Architect should translate business needs into technical data solutions with adherence to established data guidelines and approaches from an enterprise perspective. Bonus points for experience in the fintech lending sector.  This is a remote-friendly position, with occasional travel required to the Qcells office locations in Irvine CA or San Francisco CA.

RESPONSIBILITIES

  • Lead the design, development, implementation and maintenance of complex data systems and solutions. Own data architecture and develop data engineering framework with cloud native approach.
  • Through expert knowledge translate high-level business requirements into well-designed data models, data integration mappings, and appropriate metadata, ensuring that business definitions and rules are properly incorporated.
  • Develop conceptual, logical and physical enterprise data models to support data analysis and business intelligence initiatives and validates data models to adhere with business needs.
  • Define and manage data principles, architecture patterns, guidelines to improve and maintain adequate data quality, security/privacy, reliability, and data governance.
  • Collaborate with cross-segment functional teams, product managers and domain SMEs to understand data consumers' needs and develop solutions that align with established principles and standards.
  • Evaluate and conduct POC's for emerging technologies as they relate to general technical and data capabilities 

REQUIRED QUALIFICATIONS

  • Seven plus years of wide-ranging experience in Enterprise Data Management.
  • Advanced experience in architecting and delivering high-performance, highly-scalable and flexible, cost-effective, cloud-based enterprise business data and analytics solutions
  • Hands on experience building data engineering solutions.
  • Experience developing reference architecture, principles, and standards.
  • Experience with modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests. Continuous delivery experience preferred.
  • Experience with entity relationship modelling, data architecture layers and design, metadata systems and tools, data quality tools and techniques.
  • Experience with Snowflake and Tableau.
  • Experience working with Jira and Confluence in an agile environment

PREFERRED REQUIREMENTS

  • Creative problem-solver; takes a high level of initiative, has a strong sense of personal accountability to always follow through.
  • Interest in relational database management, best data practices, keeping up to date with the latest technologies/ data solutions
  • Passionate about offering scalable solutions and providing excellent customer service.
  • Strong communication and executive presentation skills
Physical, Mental, & Physical Demands
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation. 
MobilityStanding: 20% of time Sitting: 70% of time Walking: 10% of time
StrengthPulling: up to 10 Pounds Pushing: up to 10 Pounds Carrying: up to 10 Pounds Lifting: up to 10 Pounds
Agility (F = Frequently, O = Occasionally, N = Never)Turning: FTwisting: FBending: OCrouching: OBalancing: NClimbing: NCrawling: NKneeling: N
Dexterity (F = Frequently, O = Occasionally, N = Never)Typing: FHandling: FReaching: F

Tags: Agile Architecture Business Intelligence Data analysis Data governance Data management Data quality Data strategy Engineering FinTech Jira Privacy Security Snowflake Tableau Testing

Perks/benefits: Flex hours

Regions: Remote/Anywhere North America
Country: United States
Job stats:  4  0  0
Category: Architecture Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.