Jobs in the United States

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Added 34 mins ago
UN
Cloud Engineer
UNITED NETWORK FOR ORGAN SHARING
Richmond, VA
- $90,000 to $110,000 USD / year
The Cloud Engineer is an individual contributor within Enterprise Technology responsible for supporting the configuration, deployment, and maintenance of infrastructure, platform services,…
Added 1 hour ago
SOFTWARE DEVELOPERS
JRSS CORPORATION
VERONA, WI
Added 1 hour ago
Sr Security Engineer - IAM (SailPoint)
Hays
Raleigh, NC
MUST HAVE IAM Solution and Architecture Experience- specifically SailPoint · Must have knowledge of cloud directories such as Entra ID, AWS Directory Service and Google Cloud Identity
Added 2 hours ago
Senior Director, Software and Quality Engineering
OneStream
United States
…React/TypeScript, SQL Server, and Azure, supporting CI/CD and DevOps practices and ensuring performance, scalability, security, and…
Added 2 hours ago
Forward Deployed Engineer (Alluvial)
Jacobs
Portland, OR
Location: Hybrid 2 days per week at any US based Jacobs office
Added 2 hours ago
TT
Senior Software Engineer, Customer Studio Backend
True Talent Solutions Partners
Remote, United States
- $180,000 to $320,000 USD / year
- Career progression and sustained contributions in prior roles; experience beyond data engineering or DevOps is important.
Added 2 hours ago
DevOps Engineer
Parsons Corporation
Centreville, VA
…marquee customers in Defense and Intelligence. We are seeking a DevOps Engineer (CNO) to develop and maintain the CI/CD pipelines and containerized platforms that power our CNO development…
Added 2 hours ago
Test Engineer (Journeyman)
CACI International
Ashburn, VA
Professional certifications such as ISTQB Certified Tester, AWS Certified DevOps Engineer, or similar testing/quality assurance certifications
Added 2 hours ago
Full Stack Software Developer/Engineer
CACI International
Sterling, VA
Clearance: Must have TS/SCI with CI poly (or be willing to take CI poly)
Added 3 hours ago
Senior Systems Operations Engineer
IDENTRUST, INC
SALT LAKE CITY, UT
Added 3 hours ago
TT
Forward Deployed Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
- At least 3 years of experience in infrastructure engineering, DevOps, or SRE.
Added 3 hours ago
Staff Software Engineer (Active Secret Clearance Required)
Northrop Grumman
Oklahoma City, OK
Northrop Grumman is seeking an experienced Staff Software Engineer to join our dynamic team. This position will support our Aeronautics Systems sector in Oklahoma City, OK.
Added 3 hours ago
Cloud Engineer Mid-level
SAIC
Washington, DC
As a Cloud engineer, you’ll use your experience to architect, build, and design solutions that integrate public Cloud services. You will incorporate techniques like Infrastructure as Code…
Added 3 hours ago
C
Senior SDET / QA Automation Engineer (Playwright, Selenium, Java & Cucumber)
Cognizant
Washington, DC
- $62,500 to $99,000 USD / year
We are seeking a Senior SDET / QA Automation Engineer (Playwright, Selenium, Java & Cucumber) to join our Quality Engineering team supporting a leading healthcare client. The ideal…
Added 3 hours ago
Principal Machine Learning Engineer
Vail Resorts
CA
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 3 hours ago
Full Stack Software Engineer
Amgen
Thousand Oaks, CA
Experience with DevOps CICD build and deployment pipeline
Added 3 hours ago
Software Engineer
Amgen
Thousand Oaks, CA
Experience with DevOps CICD build and deployment pipeline
Added 3 hours ago
Staff Site Reliability Engineer - Federal
ServiceNow, Inc.
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
Reliability Engineer
ServiceNow, Inc.
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
Java Full Stack Developer-Software Engineer III
Deloitte
San Francisco, CA
…in a collaborative environment? As an experienced Software Engineer III - Sr. Java Full Stack Developer you will have the ability to share new ideas and collaborate on projects as a…
Added 3 hours ago
DevOps Platform Engineer
BOOZ, ALLEN & HAMILTON, INC.
San Diego, CA
Everyone is trying to "harness the cloud," but not everyone knows how. As a DevOps engineer, you're eager to develop, manage, and secure a container platform that meets your client's needs…
Added 4 hours ago
Early-Career Platform Engineer - Cloud Engineering, DevOps, Systems Architecture
RTI International
Durham, NC
We have an immediate opportunity for an Early-Career Platform Engineer to join our growing platform team. The successful candidate will work with multidisciplinary teams including platform…
Added 4 hours ago
WI
(USA) Senior, Data Engineer
Walmart Inc.
United States
- $117,000 to $234,000 USD / year
Role summary: Join Walmart as a Senior Data Engineer and leverage your expertise in data integration, modeling, and pipeline development to support scalable data solutions. This role…
Added 4 hours ago
DW
Software Engineer
Design West Technologies, Inc.
Tustin, CA
- $115,000 to $135,000 USD / year
…CA, we are seeking an experienced, forward-thinking Software Engineer to help build and improve the internal applications that support our manufacturing operations. This role will play a…
Added 5 hours ago
AI Engineer Agentic Systems - must be local in Pittsburgh, PA
System One
Pittsburgh, PA
An engineer with 3 to 6 years of experience who designs, builds, and ships agentic AI tools from requirements to production in Microsoft Azure and System One’s enterprise application…

Axtria, Inc.

Context Architect (Snowflake) (1317)

Berkeley Heights, NJ, United States

$131,200 to $174,975 USD / year

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Job details

Pay: $131,200 to $174,975 USD / year
Posting language: English
Posted: Nov 11, 2026

Original job description

About the Role

Axtria helps leading life sciences companies modernize their commercial data and AI platforms. Our AI & Data practice is growing its Snowflake capability to support large-scale programs that move legacy cloud and on-premise data stacks to modern, governed, AI-ready commercial data platforms serving brand analytics, field reporting, incentive compensation, and downstream consuming applications.

We are looking for a hands-on Technical Architect to own the target-state architecture, lead phased migration programs, and ensure the platform is stable, high-quality, and ready for agentic and GenAI use cases. You will work alongside client data and technology leaders, Axtria delivery leads, and onshore/offshore engineering teams.

Key Responsibilities

Own end-to-end reference architecture for enterprise commercial data platforms on Snowflake, covering ingestion, layered data modeling (raw, curated, consumption), security, cost governance, and environment strategy.
Design and lead migration of workloads from legacy platforms (e.g., AWS S3/EMR/EKS/Redshift, Hadoop) to Snowflake, including Spark/PySpark job refactoring, Redshift SQL conversion, and parallel-run and reconciliation approaches.
Define patterns for onboarding commercial data feeds (IQVIA, Symphony, specialty pharmacy, claims, CRM/Veeva, payer, and MDM outputs), with reusable frameworks that shorten new feed and new product onboarding.
Architect data quality and observability capabilities (rules, anomaly detection, release gating, lineage) in partnership with data governance and data quality teams.
Establish Snowflake best practices for RBAC, secure data sharing, masking and row-level security, warehouse sizing, and FinOps/cost monitoring.
Design orchestration and CI/CD (Airflow or equivalent, dbt, Git-based DevOps, infrastructure as code) for reliable, auditable releases.
Enable AI readiness on the platform: semantic and context layers, metadata and data dictionary services, Snowflake Cortex/Snowpark use cases, and integration points for agentic operations (feed monitoring, change request automation, DQ triage).
Partner with downstream and application teams to plan cutover and minimize disruption to consuming systems and reports.
Act as technical authority in client architecture forums, review boards, and executive updates; produce clear architecture decision records, design documents, and roadmaps.
Mentor engineers and architects across onshore and offshore teams; support change management and Snowflake enablement for client audiences.

Technical Skills

Snowflake

Snowflake Platform: Deep expertise in Snowflake architecture: virtual warehouses, multi-cluster scaling, micro-partitioning, clustering keys, search optimization, query acceleration, result caching, and Time Travel/Fail-safe.
Ingestion & Processing: Snowpipe and Snowpipe Streaming, Streams and Tasks, Dynamic Tables, external and Iceberg tables, stages, and file formats for batch and near-real-time ingestion.
Sharing & Resilience: Secure data sharing, Data Clean Rooms, Snowflake Marketplace, replication and failover, and cross-region/cross-cloud strategies.
Snowpark & AI: Snowpark (Python/Java/Scala), UDFs/UDTFs, stored procedures, Snowflake Cortex (LLM functions, Cortex Search, Cortex Analyst), and Streamlit in Snowflake.
Security & Governance: RBAC/role hierarchy design, network policies, SSO/SCIM, key-pair auth, dynamic data masking, row access policies, object tagging, and Horizon governance features.
Performance & FinOps: Resource monitors, warehouse right-sizing, query profiling and tuning, workload isolation, and credit consumption chargeback models.

Data Engineering

Languages: Advanced SQL (window functions, semi-structured data with VARIANT/FLATTEN), Python, and PySpark; working knowledge of Scala or Java is a plus.
Transformation: dbt (models, macros, tests, snapshots, packages), ELT/ETL design, and tools such as Fivetran, Matillion, Informatica, or AWS Glue.
Orchestration: Apache Airflow/MWAA, Step Functions, or equivalent; dependency management, SLA monitoring, retries, and backfill strategies.
Data Modeling: Dimensional modeling (Kimball), Data Vault 2.0, medallion/layered architectures, slowly changing dimensions, and late-arriving data handling.

Cloud, DevOps & Tooling

Cloud: AWS: S3, EMR, EKS, Redshift, Glue, Lambda, IAM, KMS, VPC/PrivateLink, CloudWatch; Azure or GCP exposure is a plus.
DevOps & IaC: Git, GitHub Actions/Jenkins/Azure DevOps, Terraform (including Snowflake provider), schemachange or similar, and environment promotion strategies.
Quality & Observability: Data quality frameworks (Great Expectations, Soda, dbt tests), observability (Monte Carlo or similar), data catalogs and lineage (Alation, Collibra, Atlan, or OpenLineage).
Consumption: Integration with BI and consuming tools such as Tableau, Power BI, Qlik, and downstream applications via APIs and reverse ETL.

Architecture Skills

Translate business and analytics requirements into target-state data architectures, logical and physical designs, and phased roadmaps.
Assess current-state platforms, identify technical debt and fragility, and define migration strategies (lift-and-shift, re-platform, re-architect) with clear risk, cost, and timeline trade-offs.
Design for non-functional requirements: scalability, availability, performance SLAs, disaster recovery, security, auditability, and regulatory compliance (HIPAA, GxP, SOX where applicable).
Define reusable reference patterns and accelerators for ingestion, transformation, data quality, metadata, and consumption that teams can adopt consistently.
Establish architecture governance: design standards, architecture decision records (ADRs), review boards, and conformance checks across delivery teams.
Build TCO and cost models, compare platform and tooling options (e.g., Snowflake vs. Databricks, native vs. third-party tools), and present recommendations to senior stakeholders.
Design semantic layers, metadata models, and context layers that make enterprise data usable by BI tools, GenAI applications, and AI agents.
Plan cutover, parallel-run, reconciliation, and legacy decommissioning with minimal disruption to downstream consumers.
Produce clear architecture artifacts (context, component, data flow, and deployment diagrams) and communicate them effectively to both technical and executive audiences.
Guide estimation, solutioning, and proposal responses for new opportunities, contributing to practice growth and pre-sales.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
12+ years in data engineering and architecture, with 4+ years designing and delivering enterprise solutions on Snowflake.
Proven experience leading at least one large-scale migration from Hadoop/EMR, Redshift, or similar platforms to Snowflake.
Strong command of SQL, Python/PySpark, data modeling (dimensional and Data Vault), and ELT frameworks such as dbt.
Hands-on AWS experience (S3, EMR, EKS, IAM, Glue, Lambda) and an understanding of how to decommission legacy components safely.
Experience with orchestration (Airflow, MWAA, or similar), CI/CD, and infrastructure as code (Terraform).
Solid grounding in data governance, data quality, lineage, and security in regulated environments.
Excellent communication skills, with the ability to explain architecture trade-offs to senior client stakeholders and engineering teams alike.

Preferred Qualifications

Pharma or life sciences commercial data experience: sales and claims data, specialty data, customer and product master data, field reporting, incentive compensation.
Experience with Snowflake Cortex, Snowpark, Streamlit, or building semantic layers for GenAI and agentic use cases.
Familiarity with data observability tools (Monte Carlo, Great Expectations, Soda, or similar).
SnowPro Advanced: Architect or Data Engineer certification; AWS certifications are a plus.
Experience working in onshore/offshore delivery models within a consulting environment.

Why Axtria

You will shape high-impact commercial data modernization programs in the life sciences industry, working at the intersection of cloud data platforms, data quality, and AI, with a team that brings deep, long-standing domain expertise.

Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $131,200 to $174,975 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.

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More about this job

Skills

Snowflake
Data modelling
AWS
EMR
Amazon Redshift
Apache Hadoop
Apache Spark
PySpark
SQL
Onboarding
Mobile device management
Cost management
CI/CD
Apache Airflow
dbt
Git
DevOps
Infrastructure as code
Change management
Clean rooms
Python
Oracle Java
Scala
Data engineering
Informatica
Identity and access management
Microsoft Azure
Google Cloud
GitHub
Jenkins
IBM Terraform
Tableau
Microsoft Power BI
Qlik
Implement ICT recovery system
Regulatory compliance
Databricks
Estimating
Sales

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Work requirements

Jobs in the United States