Pay
In line with similar jobs
$210K–$230K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
New York, NY
Actively hiring, first seen by us 3 days agoThe anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $210,000 - $230,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.Read the full posting
Define and execute the enterprise data engineering and data products strategy
Build and lead teams of data engineers, platform engineers and product developers
Design and deliver scalable pipelines that turn raw source data into business-ready datasets
Set engineering standards and transformation frameworks, using Databricks and Spark
Partner with business stakeholders to translate requirements into technical data solutions
Define and execute the enterprise Data Engineering and Data Products strategy.
Build and lead high-performing teams of data engineers, platform engineers, and data product developers.
Design and deliver scalable pipelines that transform raw source data into business-ready datasets.
Lead development of reusable transformation patterns utilizing Databricks and Spark.
Translate complex business requirements into scalable technical solutions.
15+ years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or Data Platform Engineering.
8+ years of leadership experience managing large engineering organizations.
Proven experience building enterprise-scale data platforms and engineering capabilities.
Deep experience designing and delivering business-facing data products.
Strong experience within financial services, asset management, banking, insurance, or other regulated industries preferred.
Qualifications Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field Experience Required:
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$210K–$230K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Day 3
Early. Similar jobs usually come down between day 8 and day 57.
At Ares Management, jobs usually come down by about day 50.
From 9,498 similar postings that came down, and 32 of Ares Management’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Experience Required: · Extensive experience designing and implementing enterprise-scale ETL/ELT solutions utilizing Databricks, Apache Spark, Delta Lake, Python, SQL, and Azure Data Lake Storage to support high-volume analytical, operational, and regulatory workloads. · Deep expertise implementing and governing Databricks Medallion Architecture (Bronze, Silver, Gold) with standardized processes for data refinement, certification, promotion, and lifecycle management.
· Strong experience designing enterprise-grade data quality, reconciliation, exception handling, error management, and reprocessing frameworks, including automated validation, data certification, root-cause analysis, and operational remediation workflows. · Deep expertise implementing observability capabilities utilizing Databricks Lakehouse Monitoring, Delta Live Tables expectations, Unity Catalog Lineage, Databricks System Tables, Azure Monitor, Log Analytics, Application Insights, dashboards, telemetry, alerting, and operational analytics to ensure reliability, transparency, and SLA compliance across all data products. General Requirements:
Job Description Ares Management is seeking a Vice President, Data Engineering & Data Products is responsible for leading the enterprise data engineering organization responsible for transforming raw data into trusted, consumable, and business-ready data products. This role owns the design, development, and operation of scalable data pipelines, transformation frameworks, data models, and curated data products built on the Databricks Lakehouse platform. The successful candidate will partner closely with Data Ingestion & Integration, Data Distribution Services, Data Governance, Master Data Management, Enterprise Architecture, and business domain teams to deliver trusted and reusable enterprise data products.
· Design and deliver scalable pipelines that transform raw source data into business-ready datasets. · Lead development of reusable transformation patterns utilizing Databricks and Spark. · Implement complex business logic, aggregations, calculations, and derived metrics.
· Extensive experience designing and implementing enterprise-scale ETL/ELT solutions utilizing Databricks, Apache Spark, Delta Lake, Python, SQL, and Azure Data Lake Storage to support high-volume analytical, operational, and regulatory workloads. · Deep expertise implementing and governing Databricks Medallion Architecture (Bronze, Silver, Gold) with standardized processes for data refinement, certification, promotion, and lifecycle management. · Proven experience transforming complex source data into canonical, normalized, dimensional, and domain-oriented data models, enabling consistent enterprise-wide consumption and interoperability.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job Description
Ares Management is seeking a Vice President, Data Engineering & Data Products is responsible for leading the enterprise data engineering organization responsible for transforming raw data into trusted, consumable, and business-ready data products. This role owns the design, development, and operation of scalable data pipelines, transformation frameworks, data models, and curated data products built on the Databricks Lakehouse platform.
The successful candidate will partner closely with Data Ingestion & Integration, Data Distribution Services, Data Governance, Master Data Management, Enterprise Architecture, and business domain teams to deliver trusted and reusable enterprise data products.
Reporting relationships
Reports to: Principal, Head of Data Platforms
Supervises: n/a
Primary functions & responsibilitiesEnterprise Data Engineering
· Define and execute the enterprise Data Engineering and Data Products strategy.
· Establish engineering standards, frameworks, and best practices for data transformation and product development.
· Build and lead high-performing teams of data engineers, platform engineers, and data product developers.
· Drive the transition from project-based data delivery to product-centric data management.
· Partner with business and technology leaders to prioritize strategic data products and capabilities.
· Define engineering KPIs, quality metrics, SLAs, and operational objectives.
· Lead technology investment decisions and engineering modernization initiatives.
Data Platform Development
· Own enterprise ETL/ELT standards and transformation frameworks.
· Design and deliver scalable pipelines that transform raw source data into business-ready datasets.
· Lead development of reusable transformation patterns utilizing Databricks and Spark.
· Implement complex business logic, aggregations, calculations, and derived metrics.
· Enable standardized enrichment processes leveraging internal and external datasets.
· Optimize data processing performance, scalability, and cost efficiency.
· Ensure consistency of data transformations across business domains.
Business & Stakeholder Engagement
· Partner directly with stakeholders across Investment Operations, Finance, Compliance, Investor Relations, Risk, and Investment teams.
· Translate complex business requirements into scalable technical solutions.
· Drive successful delivery of strategic data initiatives and enhancements.
Data Governance & Quality
· Implement and support data quality controls, lineage, metadata, and governance capabilities.
· Contribute to data security, privacy, and compliance requirements.
· Establish technical standards and engineering best practices.
Leadership & Collaboration
· Lead technical workstreams and complex engineering initiatives.
· Mentor junior team members and provide technical guidance.
· Participate in architecture discussions and technology evaluations.
· Collaborate with leadership on platform roadmap and prioritization efforts.
Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
Experience Required:
· Extensive experience designing and implementing enterprise-scale ETL/ELT solutions utilizing Databricks, Apache Spark, Delta Lake, Python, SQL, and Azure Data Lake Storage to support high-volume analytical, operational, and regulatory workloads.
· Deep expertise implementing and governing Databricks Medallion Architecture (Bronze, Silver, Gold) with standardized processes for data refinement, certification, promotion, and lifecycle management.
· Proven experience transforming complex source data into canonical, normalized, dimensional, and domain-oriented data models, enabling consistent enterprise-wide consumption and interoperability.
· Strong expertise building data enrichment frameworks that combine transactional, master, reference, market, and third-party datasets to create trusted and reusable business data products.
· Extensive experience implementing bi-temporal data models, temporal versioning, SCD patterns, effective-dating, and historical tracking frameworks supporting audit, regulatory, and point-in-time reporting requirements.
· Strong experience designing enterprise-grade data quality, reconciliation, exception handling, error management, and reprocessing frameworks, including automated validation, data certification, root-cause analysis, and operational remediation workflows.
· Deep expertise implementing observability capabilities utilizing Databricks Lakehouse Monitoring, Delta Live Tables expectations, Unity Catalog Lineage, Databricks System Tables, Azure Monitor, Log Analytics, Application Insights, dashboards, telemetry, alerting, and operational analytics to ensure reliability, transparency, and SLA compliance across all data products.
General Requirements:
Reporting Relationships
Managing Director, Head of Data Engineering & AI PlatformsCompensation
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
$210,000 - $230,000
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $210,000 - $230,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
New York, NY
Working pattern and location restrictions need checking in the full posting.
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.