2 дня назад
Lead Data Modeler
107 000 - 142 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Modeler (SQL/Data Warehouse): Designing and governing a unified data lake and data warehouse model that translates fragmented CRM and operational data into scalable structures, with an accent on source-to-target mapping, reconciliation, and data quality. Focus on defining transformation specifications, administering schemas and access controls, and resolving complex cross-system data discrepancies.
Location: Boston, MA, United States
Salary: $107,000–$142,000 USD base compensation annually, plus a discretionary annual variable target incentive.
Company
provides data technology and platforms for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries.
What you will do
- Design and maintain conceptual, logical, and physical data models for the data lake and warehouse.
- Define canonical data definitions, relationships, business logic, naming standards, and documentation.
- Analyze legacy CRM and operational datasets and create source-to-target mappings for ETL/ELT workflows.
- Partner with Data Engineering to validate ingestion, resolve discrepancies, and establish data quality monitoring.
- Administer warehouse schemas, views, user roles, access controls, security, query performance, and indexing.
- Collaborate with Sales, CRM, Marketing, and business stakeholders to standardize data requirements and onboard new sources.
Requirements
- 5+ years of experience in data modeling, data architecture, or related roles.
- Strong SQL skills and the ability to independently analyze complex datasets.
- Experience designing conceptual, logical, and physical data models.
- Experience with databases such as IRIS, PostgreSQL, or similar platforms.
- Understanding of normalization, denormalization, schema design trade-offs, source-to-target mapping, and ETL/ELT processes.
- Ability to structure ambiguous legacy data with strong attention to accuracy and consistency.
Nice to have
- Experience with CRM or customer data platforms.
- Experience with data governance, access control, and data quality initiatives.
- Proficiency in Python for data analysis or validation workflows.
- Experience using AI tools for data analysis, mapping, and documentation.
- Strong communication skills across technical and business teams.
Culture & Benefits
- Medical, vision, and dental insurance.
- Short-term and long-term disability and life insurance.
- 401(k) profit-sharing contribution.
- Paid time off, holidays, and parental leave.
- Tuition reimbursement.
- Equal-opportunity employment and a 24×7 customer support organization.
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