The Director-Data Platform Engineering is responsible for the strategic leadership, governance, and delivery of Alliance Health's modern cloud based data engineering platform, replacing the legacy
The Director-Data Platform Engineering is responsible for the strategic leadership, governance, and delivery of Alliance Health's modern cloud based data engineering platform, replacing the legacy
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Remote Data Science Music information
See Raleigh, NC salary details
$40.3K - $54.4K
3% of jobs
$54.4K - $68.5K
0% of jobs
$68.5K - $82.6K
1% of jobs
$82.6K - $96.7K
4% of jobs
$96.7K - $110.8K
11% of jobs
$116K is the 25th percentile. Wages below this are outliers.
$110.8K - $124.9K
16% of jobs
The median wage is $137.2K / yr.
$124.9K - $139K
17% of jobs
$139K - $153.1K
16% of jobs
$158.8K is the 75th percentile. Wages above this are outliers.
$153.1K - $167.2K
17% of jobs
$167.2K - $181.3K
10% of jobs
$181.3K - $195.4K
5% of jobs
$40.3K
$138.5K
$195.4K
How much do remote data science music jobs pay per year?
What is a remote data science music job?
What are the key skills and qualifications needed to thrive as a remote data science music professional?
How does a remote data science role in the music industry typically collaborate with other departments, such as marketing or A&R?
What is the difference between Remote Data Science Music vs Remote Data Analysis?
| Aspect | Remote Data Science Music | Remote Data Analysis |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of music data | Bachelor's in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools |
| Work Environment | Collaborative teams, often in tech or entertainment industries, with a focus on music data | Business or research settings analyzing various data types, often in finance, marketing, or healthcare |
| Employer & Industry Usage | Music tech companies, streaming services, entertainment industry | Corporate, research institutions, marketing agencies across multiple industries |
Remote Data Science Music involves applying data science skills specifically to music-related data, often requiring knowledge of music industry trends and audio data analysis. Remote Data Analysis is broader, focusing on analyzing various data types across industries. While both roles require strong analytical skills and familiarity with data tools, Remote Data Science Music emphasizes music-specific data and industry knowledge.
What are popular job titles related to Remote Data Science Music jobs in Raleigh, NC?
For Remote Data Science Music jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Music jobs in Raleigh, NC look for?
The top searched job categories for Remote Data Science Music jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Science Music jobs?
Cities near Raleigh, NC with the most Remote Data Science Music job openings:
Dir-Data Platform Engineering (Full-time Remote, North Carolina Based)
Morrisville, NC • On-site, Remote
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
This job post has expired today. Applications are no longer accepted.
Job description
The Director-Data Platform Engineering provides enterprise accountability for the design, development, operation, and continuous evolution of the data platform, ensuring secure, scalable, and high quality data products that support analytics, reporting, interoperability, regulatory compliance, and organizational decision making. The Director leads the Data Platform Engineering team and oversees the phased migration and sunset of legacy EDW capabilities as data domains transition to the modern platform.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Data Platform Strategy and Enterprise Leadership
- Define, own, and execute the enterprise data platform strategy and roadmap aligned with Alliance Health's Data Modernization Initiative
- Lead the transition from legacy EDW architecture to a cloud native Lakehouse and data engineering platform
- Establish platform success metrics related to scalability, reliability, performance, cost management, and business value
- Serve as the executive level authority for enterprise data platform direction and technical decision making
Organizational Leadership and Workforce Development
- Lead and develop the Data Platform Engineering team, including the Cloud Data Architect, Lead Cloud Data Engineer, Cloud Data Engineers, Data Quality Engineer, Business Analyst, and Data Governance Analyst
- Establish role clarity, career pathways, and performance expectations aligned with Alliance Health's IT Job Architecture
- Coach and mentor senior technical staff to strengthen leadership capability, engineering discipline, and platform ownership
- Build a sustainable internal delivery model that reduces long term reliance on consultants
Engineering Governance and Technical Oversight
- Establish and enforce enterprise standards for data ingestion, transformation, and serving layers, medallion and Lakehouse architecture patterns, CI/CD, DevOps, and environment management, and monitoring, observability, and production support
- Provide oversight and approval for complex architecture and solution designs impacting the enterprise data platform
- Ensure consistency of engineering practices across data domains and delivery teams
Data Quality, Security, and Regulatory Compliance
- Ensure enterprise wide data quality standards, validation frameworks, and monitoring capabilities are implemented
- Partner with Security, Compliance, and Governance teams to ensure adherence to HIPAA and HITECH requirements, data classification, encryption, access controls, and audit logging
- Maintain accountability for platform stability, incident response, and root cause remediation
Program Delivery and Legacy EDW Sunset
- Provide executive oversight for data domain migrations, analytics and reporting modernization, and decommissioning of legacy EDW assets
- Manage cross functional dependencies, delivery risks, and sequencing of modernization activities
- Ensure transparent reporting on delivery status, risks, and outcomes to executive leadership
Stakeholder Engagement and Executive Communication
- Act as the primary liaison between IT leadership, business stakeholders, analytics teams, and external partners for data platform initiatives
- Translate business and regulatory requirements into scalable technical capabilities
- Communicate platform strategy, risks, progress, and outcomes to executive leadership
Minimum Requirements
Education & Experience
Required:
Bachelor's degree in computer science or a related field, with six (6) years of experience with increasing responsibilities in data engineering, data architecture, or enterprise data platform leadership and three (3) years of experience in people management, platform governance, and cross functional delivery. Demonstrate experience leading enterprise scale data platforms on Microsoft Azure, including data Lakehouse or data warehouse modernization initiatives.
Experience should also include operating in regulated environments, preferably healthcare, with responsibility for data security, privacy, and compliance outcomes.
The following technical certification (or comparable) is required:
- Databricks Certified Data Engineer Professional
Preferred:
Master's degree in computer science or a related field, with five (5) years of progressively responsible experience in data engineering, data architecture, or enterprise data platform leadership preferred.
Any of the following or comparable technical certification is preferred:
- Microsoft Azure Solutions Architect Expert
- Databricks Certified Professional
- Azure Security Engineer Associate (AZ 500)
Knowledge, Skills, & Abilities
- Implementing and maintaining enterprise-scale Medallion data platforms on Microsoft Azure
- Databricks Development
- Python, SQL, PySpark, SQL, and modern data engineering frameworks
- Azure Data Services: ADLS Gen2, Data Factory, Synapse
- DevOps, Git and CI/CD best practices
- Agile methodology and tools
- HIPAA/HITECH compliance in cloud architectures
- Technical documentation skills
- Communication and organizational skills
- Ability to work independently and in a team setting
- Azure Platform Architect Accreditation
Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$131,191-$167,268/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
- Medical, Dental, Vision, Life, Long Term Disability
- Generous retirement savings plan
- Flexible work schedules including hybrid/remote options
- Paid time off including vacation, sick leave, holiday, management leave
- Dress flexibility
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.