{"id":3558750,"url":"https://alion.io/job/ey-wam-aws-data-engineer-manager","title":"WAM- AWS-Data-Engineer-Manager","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Oracle","optional":false},{"name":"Oracle Data Integrator","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-31T02:00:00Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-06T04:07:24Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\nWealth & Asset Management (WAM) - AWS Data Engineer Manager/Architect:\nConsulting - WAM -Technical-AWS Data Engineer Manager/Architect: Manager\nAt EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.\nJoin EY and help to build a better working world.\nAbout Global Delivery Services\nGlobal Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.\nOur journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.\nClient service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.\nEnablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.\nOur innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.\nThe Opportunity\nRole Summary\nThe Lead AWS Data Engineer provides technical leadership and hands on execution for enterprise data platforms hosted on Amazon Web Services (AWS). This role leads the design, migration, modernization, and operation ofcloud native data architectures supporting mission critical financial, advisor payout, mobility, and corporate analytics platforms.\nThe Lead AWS Data Engineer owns end to end technical decision making for AWS data platforms, including architecture, security, orchestration, and production readiness. The role requires deep expertise in AWS data services, Python and PySpark development, workflow orchestration, data lake design, infrastructure as code, and operational excellence, along with the ability to mentor engineers and partner effectively with infrastructure, IAM, and database teams.\nRole: AWS Data Engineer Manager/Architect\nExperience: 8-10 years\nDomain: Wealth Management, Asset Management, Capital Markets, Investment Banking, Financial\nYour Key Responsibilities\nTechnical Leadership & Platform Ownership\nServe as the technical lead and design authority for AWS data engineering initiatives across multiple enterprise platforms.\nOwn architectural decisions related to scalability, reliability, security, and cost optimization of AWS data platforms.\nDefine and enforce engineering standards, coding patterns, and operational best practices for cloud data pipelines.\nProvide hands on technical guidance, design reviews, and code reviews for data engineers.\nAWS Data Platform Engineering\nLead the design, development, and support of cloud native data pipelines using Amazon S3, AWS Glue (PySpark), MWAA (Apache Airflow), and AWS Step Functions.\nDrive on premises to AWS data platform migrations, including reverse engineering of legacy ETL workflows and re implementation using AWS native services.\nRe architect legacy Oracle Data Integrator (ODI) -based ETL processes into scalable PySpark based Glue jobs.\nOptimize Spark workloads for performance, memory usage, and cost efficiency in AWS Glue environments.\nData Lake, Iceberg & Architecture Design\nArchitect and implement enterprise AWS data lakes using Medallion architecture (Bronze, Silver, Gold).\nDesign and manage Apache Iceberg tables to support incremental processing, schema evolution, and efficient data lake operations.\nEstablish standardized ingestion, transformation, and consumption patterns across financial, mobility, and corporate datasets.\nEnsure data quality, reconciliation, lineage, and auditability across all layers of the data platform.\nWorkflow Orchestration & Automation\nLead orchestration strategy using MWAA (Managed Workflows for Apache Airflow).\nDesign and implement Airflow DAGs in Python to orchestrate end to end workflows, including Glue jobs, validations, and downstream dependencies.\nImplement scheduling, retry logic, monitoring, and failure handling to ensure resilient and scalable pipelines.\nIntegrate orchestration workflows with AWS services such as S3, Glue, Athena, Iceberg based data lakes, and downstream systems.\nSecurity, Infrastructure & AWS Networking\nDrive implementation of AWS security best practices, including IAM role design, least privilege access, encryption using AWS KMS, and secrets management.\nLead configuration of AWS networking components such as VPC Endpoints (VPCE) to enable secure service to service communication.\nManage infrastructure provisioning using Terraform, ensuring repeatable and auditable deployments across DEV, QA, and PROD environments.\nCoordinate with IAM, network, DevOps, and DBA teams to resolve access, firewall, and Oracle database connectivity challenges.\nProduction Readiness, Operations & Support\nOwn production readiness for AWS data platforms, including configuration, secrets, access controls, and deployment planning.\nAct as the escalation point for complex production issues, performing root cause analysis and permanent fixes.\nImplement logging, metrics, and alerting using Amazon CloudWatch to meet enterprise SLAs and availability targets.\nSupport parallel run and hybrid architectures during migration phases to ensure business continuity.\nAutomation, Compliance & Regulatory Enablement\nDesign and oversee Python based automation solutions supporting operational efficiency and compliance initiatives (e.g., file retention and document processing).\nEnsure pipeline designs meetregulatory, audit, and enterprise governance requirements, including traceability and controlled data handling.\nCollaboration & Stakeholder Engagement\nPartner closely with data architects, DevOps teams, infrastructure teams, and business stakeholders to deliver AWS data solutions aligned with enterprise strategy.\nTranslate business and platform requirements into scalable technical designs and execution plans.\nProduce technical documentation and support knowledge transfer to enable long term platform sustainability.\nPreferred Domain Experience\nStrong preference for candidates with experience in:Wealth Management\nAsset Management\nCapital Markets\nInvestment Banking\nFinancial Services\n\nExposure to:Portfolio & Investment Management\nSecurities & Holdings Data\nTrade & Transaction Processing\nRisk & Compliance Reporting\nMarket & Reference Data\nClient Reporting Platforms\nRegulatory Reporting\n\nSkills and attributes for success\nPreferred skills:\nAWS Data Engineering Services (Glue, EMR, Step Functions, S3, CloudWatch)\nApache Airflow\nIceberg\nData Architect\nDWH/ETL\nPython\nPyspark\nMedallion Architecture\nSQL\nIaC (Devops, Terraform)\nData Modelling\nWAM Domain Knowledge\nGithub Copilot, Claude\nNice to Have Qualifications (Not Mandatory)\nExposure to analytics or BI platforms (e.g., ThoughtSpot, Tableau).\nExposure to Oracle databases or legacy ETL tools (e.g., ODI).\nExperience in financial services or regulated enterprise environments.\nFamiliarity with CI/CD practices for data engineering workloads.\nAWS Certification (Data Analytics, Solutions Architect, or Developer Associate).\nWhat we look for\nRequired Qualifications\nBachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience).\n8-10 years of experience in Data Engineering with strong AWS exposure.\nExtensive hands on experience designing and leading AWS data engineering solutions.\nProven experience leading or owning on premises to AWS data platform migrations.\nAdvanced proficiency inPython and PySpark for data processing, automation, and orchestration.\nStrong experience with AWS Glue, Amazon S3, MWAA (Airflow), Step Functions, CloudWatch, and related services.\nExperience withInfrastructure as Code, preferably Terraform.\nStrong understanding of data engineering principles including ETL design, data modelling, and pipeline optimization.\nDemonstrated experience supporting enterprise, production grade data platforms.\nGood understanding of AI technologies, agentic systems, and tools such as Microsoft Copilot and Claude, with the ability to leverage AI-driven capabilities for solution development and delivery.\nWhat we offer you\nAt EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.\nAre you ready to shape your future with confidence? Apply today.\nTo help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.\nOur Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.\nProfessional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.\nPeople and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.\nBenefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.\nHow to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.\nSuccessful candidates advance to a competency-based interview. If mutual interest persists, a job offer awaits.\n“We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion”.\nEY | Building a better working world\nEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\nEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\nWorking across assurance, consulting, law, strategy, tax a...","description_format":"text","description_chars":12113,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-31T02:30:33Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":28,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/ey-wam-aws-data-engineer-manager","json_url":"https://alion.io/job/ey-wam-aws-data-engineer-manager.json","meta":{"generated_at":"2026-11-06T09:11:19Z","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":16636,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-wam-aws-data-engineer-manager"},{"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%2Fey-wam-aws-data-engineer-manager"},{"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%2Fey-wam-aws-data-engineer-manager"},{"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/ey-wam-aws-data-engineer-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-wam-aws-data-engineer-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3558750}},{"tool":"search_jobs","arguments":{"company":"ey.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3558750},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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