Data Architect
Data Architect
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Job Description
As a Data Architect at Acumatica you will have the opportunity to envision design implement and operate a stateoftheart data platform Lakehouse infrastructure data pipelines and associated processes.
The ideal candidate will have a strong background in the creation of scalable unified architectures to support both realtime and batch analytics & machine learning ensuring seamless data integration governance and accessibility.
Responsibilities:
Architect a robust data platform and ecosystem of technology combining structured and unstructured data storage with analytical processing.
Define strategies and develop data pipelines for ingestion transformation and optimization within the lakehouse.
Establish policies for data governance quality privacy and security in compliance with global regulations like GDPR PCI HIPAA and CCPA.
Assert data governance principles and evangelize company wide.
Ensure secure data access and robust rolebased permissions.
Leverage tools like Delta Lake & Apache Iceberg for Lakehouse architecture.
Make recommendations for improvements considering cost and time to value.
Monitor & enhance query performance storage costs and system scalability.
Enable selfservice analytics and facilitate efficient data exploration.
Partner with IT Analytics Business & Engineering teams to align data strategies.
Lead crossfunctional projects mentoring engineers on modern data architectures.
Regularly present proposals to cross functional audiences like the Architectural Review Board to drive crossfunctional alignment of ideas and support.
Establish enterprise data service performance standards and SLAs.
Assist with major incident resolution and root cause analysis when the issue involves the data platform or policy violation.
Qualifications :
- 8 years in data architecture & engineering with expertise in data lakehouse or modern data architecture.
- Bachelors or Masters degree in Computer Science Data Engineering or a related field.
- Expertise in designing & managing big data platforms data warehouses/lakehouses or similar hybrid architectures.
- Ability to be a technical lead for a team of 35 data engineers.
- Strong skills in SQL Python Java and cloud native tools for data storage & analytics.
- Strong data modeling experience.
- Strong knowledge of ETL/ELT pipelines streaming data and orchestration frameworks.
- Understanding of data governance frameworks & compliance standards.
- Experience integrating machine learning workflows into lakehouse environments.
- Prefer experience with database performance testing and SQL optimization.
- Excellent communication & collaboration abilities with remote team members.
- Excellent documentation skills for writing policies defining business metrics/data glossary terms writing proposals and detailing architectures.
- Ability to articulate vision & strategy to senior leadership.
- Strong problemsolving skills and ability to manage complex projects.
Additional Information :
Work Perks:
- Industry competitive salary
- Comprehensive Health & Life insurances
- Hybrid working
- Office lunch
- Exposure to working with distributed global teams
- Paid paternity leave
Acumatica is an Affirmative Action and Equal Opportunity Employer/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin or protected veteran status and will not be discriminated against on the basis of disability.
If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application please email .
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
