{"id":2558213,"url":"https://alion.io/job/ares-management-senior-data-solutions-engineer-finance-technology","title":"Senior Data Solutions Engineer, Finance Technology","company":{"id":704273,"name":"Ares Management","domain":"aresmgmt.com","url":"https://alion.io/company/ares-management","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-20T17:51:59Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.\nJob Description\nPRIMARY FUNCTIONS & RESPONSIBILITIES\nFinance Technology Data Solutions\nDesign, build, test, deploy, and support Finance Technology data solutions that serve Fund Accounting processes and operating requirements.\nDefine and implement Fund Accounting-specific transformations, reconciliation and control logic, data-quality rules, integrations, and data products.\nDevelop integrations with fund administrators, Fund Accounting systems, files, APIs, and other domain sources in partnership with the teams that own the relevant platforms.\nDevelop Finance Technology data products and integrations required to support Fund Accounting processes, controls, reporting, analytics, and operational workflows.\nUse SQL Server, Databricks, Python, PySpark, APIs, and related technologies to deliver scalable solutions from design through production support.\nData quality, reconciliation, and controls\nBuild validation, reconciliation, exception-management, monitoring, and control capabilities as part of shared delivery with Fund Accounting, Data Governance, Data Product Management, and engineering partners.\nBuild and support validation, reconciliation, monitoring, exception-management, and control capabilities aligned with agreed business, data-quality, and control requirements.\nSupport investigation and resolution of data issues through technical evidence, root-cause analysis, and sustainable remediation.\nMaintain appropriate lineage, documentation, test evidence, observability, and operational support procedures for Finance Technology-owned solutions.\nEnterprise platform alignment and partnership\nLeverage enterprise platforms, pipelines, governed data layers, shared engineering capabilities and patterns, and reusable enterprise data products.\nPartner with Enterprise Data Engineering on Fund Accounting requirements, source data, enterprise integrations, domain transformations, data-quality expectations, controls, and consumption needs.\nContribute Fund Accounting domain expertise to enterprise data products and initiatives so enterprise data can be reliably applied to Fund Accounting use cases.\nAlign Finance Technology solutions with enterprise-wide engineering standards while maintaining ownership of domain-specific solutions and delivery outcomes.\nData Products & Downstream Consumption\nBuild Finance Technology data products that support Fund Accounting operational processes, dashboards, reports, analytics, extracts, downstream applications, and other consumption needs.\nDesign scalable data models, transformations, controls, reconciliations, and interfaces that enable consistent downstream consumption.\nDeliver governed datasets, technical definitions, lineage, refresh processes, and quality controls required for reporting and other downstream use cases.\nPartner with Centralized Reporting / BI by providing trusted data products and technical foundations required for scalable reporting solutions.\nSupport the ongoing operation, monitoring, enhancement, and lifecycle management of Finance Technology data products.\nBusiness partnership and engineering discipline\nCollaborate across Finance Technology, Fund Accounting, Enterprise Data Engineering, Data Governance, Data Product Management, Centralized Reporting / BI, application teams, and delivery partners throughout the delivery lifecycle.\nApply sound practices for data modeling, performance, security, access control, retention, testing, deployment, and environment management.\nUse Git, peer review, automated testing, CI/CD, controlled releases, and documented rollback and support procedures.\nCommunicate technical issues in clear business language and make practical trade-offs while maintaining accountability for Finance Technology outcomes.\nQUALIFICATIONS\nEducation: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline. Equivalent relevant experience will be considered.\nExperience Required: 5 to 8 years of hands-on data engineering, data solutions, or financial technology experience, ideally within financial services, asset management, accounting, investment operations, or another controlled enterprise data environment.\nMust-have capabilities\nAdvanced SQL Server skills, including complex queries, stored procedures, performance tuning, and troubleshooting.\nHands-on Databricks experience, including notebooks, workflows/jobs, Spark concepts, Delta Lake patterns, and production support.\nPython and/or PySpark for transformation, validation, automation, and testing.\nStrong ETL/ELT, data modeling, integration, and curated-data-layer experience.\nExperience building domain-specific transformations, integrations, data products, validation, reconciliation, monitoring, and controls.\nAbility to own technical delivery while working effectively within a broader enterprise data and reporting operating model.\nGit, pull requests, automated testing, deployment pipelines, and disciplined software delivery.\nStrongly preferred\nAzure Data Factory, Data Lake Storage, Azure DevOps, Microsoft Fabric, APIs, JSON, and secure file-transfer patterns.\nExperience with Fund Accounting systems, fund administrator data, financial balances, transactions, capital activity, or multi-system reconciliations.\nWorking knowledge of metadata, lineage, catalog, master/reference data, governance, controls, and auditability concepts.\nExperience structuring governed data for dashboards, reports, extracts, downstream applications, operational workflows, and analytics.\nHow success will be measured\nFund Accounting data is reliably transformed, reconciled, controlled, and applied to operational and consumption use cases.\nFinance Technology data products are trusted and usable across dashboards, reports, extracts, downstream applications, workflows, and analytics.\nEnterprise capabilities are reused where appropriate without weakening Finance Technology ownership of domain-specific solutions and outcomes.\nDomain-specific integrations, transformations, reconciliations, and controls reduce manual work and recurring data issues.\nClear accountability and strong handoffs are established across the broader data and reporting operating model.\nReporting Relationships\nHead of Finance TechnologyThere 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.","description_format":"text","description_chars":6961,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending","Private Equity","Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-10-14T19:51:17Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.722,"p_room":0.55,"age_days":32,"expected_fill_days":29,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ares-management-senior-data-solutions-engineer-finance-technology","json_url":"https://alion.io/job/ares-management-senior-data-solutions-engineer-finance-technology.json","meta":{"generated_at":"2026-10-20T19:34:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22607,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":704273},"rest":"https://alion.io/mcp/rest/get_company?id=704273"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fares-management-senior-data-solutions-engineer-finance-technology"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fares-management-senior-data-solutions-engineer-finance-technology"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fares-management-senior-data-solutions-engineer-finance-technology"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ares-management-senior-data-solutions-engineer-finance-technology\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fares-management-senior-data-solutions-engineer-finance-technology"}]}