{"id":1740404,"url":"https://alion.io/job/verticalrelevance-senior-aws-data-ai-architect","title":"Senior AWS Data/ AI Architect","company":{"id":3015599,"name":"Vertical Relevance","domain":"verticalrelevance.com","url":"https://alion.io/company/verticalrelevance","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":305000,"period":"year","method":"global_role_seniority_cell","sample_n":1148},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Metaflow","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-03T01:38:01Z","employer_posted_date":null,"last_verified_at":"2026-10-03T01:38:01Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Summary Vertical Relevance is looking for an AWS Data & Analytics Consultant, to join our team as a full-time employee and work remotely. This person is responsible for the end-to-end planning, building, and deploying of software systems. He/she will be able to drive the programming of well-constructed, testable code. \nAs an AWS Data & Analytics Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization skills needed to drive customer success. \nAt Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team? \nResponsibilities \nHelp customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”. \n\nConsult, plan, design, and implement Data solutions on the cloud customers \n\nDesign AWS Data Lake implementations \n\nDesign and Develop AWS Data Quality and Governance solutions \n\nBecome a deep technical resource that earns our customer's trust \n\nDevelop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud \n\nInnovate on behalf of customers and translate your thoughts into action yielding measurable results. \n\nSupport solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings. \n\nAssist with technical briefs that document solutions \n\nAssist with reference architecture implementations \n\nSupport internal and external brand development through thought leadership: \n\nWork with Marketing/Alliances to write blog posts \n\nWork with Marketing/Alliances to develop internal case studies \n\nQualifications \nProfessional experience architecting/operating Data / DevOps solutions built on AWS \n\nExperience in software/technology customer facing experience \n\nSample Activities You’ll Do AWS Data Architecture and Data Lake ImplementationAssist Customer in building out a framework for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources. \n\nAssist Customer with implementing Amazon Virtual Private Cloud (Amazon VPC), account, Amazon Simple Storage Service (Amazon S3) bucket strategy and capture impact for introducing critical data for a data lake.\n\nAssist Customer with achieving modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources. \n\nAssist Customer with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated. \n\nProvide Customer general best practices in building production quality data pipeline for ingestion, transformation and consumption to downstream applications through a serving layer. \n\nAssist Customer with defining details to data catalog and data serving layer through application program interfaces (APIs) if required. \n\nProvide Customer general best practices for Amazon S3 data storage approach. \n\nBuild Ingestion and Orchestration IngestionBased on Customer’s ingestion requirements provided. Assist Customer with building a reusable ingestion framework to onboard new data quickly based on one data source example. \n\nAssist Customer with designing and building robust data ingestion solutions using monitoring, logging and alerting servicing with retry capabilities. \n\nAssist Customer with server-less approaches where if applicable for the ingestion. \n\nAssist Customer with building the framework for managing data updates to data stored in objects on Amazon S3. \n\nOrchestrationBased on Customer’s ingestion, orchestration and operational requirements. Provide general best practices to Customer for implementing an extensible and supportable orchestration framework for onboarding data to a lambda architecture for a representative data source. \n\nAdvise Customer on leveraging AWS Services tools for data ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other tool defined as part of the assessment. \n\nAdvise Customer on orchestration options on AWS Services including but not limited to AWS Glue, AWS Step Functions, AWS Batch, Amazon EMR, AWS Data Pipeline, AWS Lambda or other AWS native orchestration tooling. \n\nAssist Customer with building out the orchestration and state management processes to support data processing without data loss and exception and identify error handling. \n\nAdvise Customer on how the orchestration tooling will provide operational feedback to the support organizations in the event of a failure. \n\nStorage and Catalog Amazon S3 Data Storage Build Based on Customer’s usage requirements. Assist Customer with building the data lake storage approach for a representative data source. \n\nAssist Customer with building data storage including buckets, prefixes, encryption, file types, partitioning. \n\nAssist Customer with building automated data partition strategy. \n\nAssist Customer with building Amazon S3 Bucket policies, logging and monitoring. \n\nAssist Customer with building out data lifecycle management. \n\nAssist Customer with building cross-region replication if required. \n\nRelevant Technical Tools \nPrimary Languages - Python, Bash \n\nTooling, Services & Libraries – Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop \n\nRelevant AWS Services \nAWS Infrastructure Scripting – CloudFormation, AWS CLI, AWS CDK \n\nAWS Storage Services – S3 \n\nAWS Compute Services – Lambda, Batch \n\nAWS Database Services – RDS, DynamoDB, Redshift, Aurora, Neptune \n\nAWS Networking Services – VPC \n\nAWS Management and Governance Services – CloudTrail, Service Catalog \n\nAWS Analytics Services – Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline \n\nAWS Security, Identity, Compliance Services – IAM \n\nAWS Application Integration Services – Step Functions \n\nThe Company Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. \nVertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. \nOriginally posted on Himalayas","description_format":"text","description_chars":7854,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-03T03:01:43Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.897,"p_room":1,"age_days":12,"expected_fill_days":43,"reasons":["seen:12","velocity","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/verticalrelevance-senior-aws-data-ai-architect","json_url":"https://alion.io/job/verticalrelevance-senior-aws-data-ai-architect.json","meta":{"generated_at":"2026-10-15T14:54:35Z","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":22824,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3015599},"rest":"https://alion.io/mcp/rest/get_company?id=3015599"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fverticalrelevance-senior-aws-data-ai-architect"},{"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%2Fverticalrelevance-senior-aws-data-ai-architect"},{"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%2Fverticalrelevance-senior-aws-data-ai-architect"},{"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/verticalrelevance-senior-aws-data-ai-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fverticalrelevance-senior-aws-data-ai-architect"}]}