Top 134 Data/Information Architect Jobs

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Philadelphia Comapny —Atlanta, GA
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HP —Spring, TX
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Tampa Electric Company —Tampa, FL
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Data / Information Architect
Ford Motor Company —Dearborn, MI
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Data Architect, Data Modeling & Integration Design Focus
Tampa Electric Company —Tampa, FL
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Principal Data Architect
Odyssey Consulting —Hanscom AFB, MA
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Business Data Delivery Lead – Data Architecture, Modeling & Enablement
Citizens Financial Group —Johnston, RI
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Principal Data Architect
Odyssey Systems Consulting Group, Ltd. —Hanscom AFB, MA
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Lead Data/Information Architect
Deloitte —Hermitage, TN
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Principal Data Privacy Architect
HP —Spring, TX
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Director Data Engineering
Subway —Shelton, CT
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- 3 years
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Quick Apply
13d

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Data/Information Architect

Circle K -
Tempe, AZ

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Job Details

Qualifications

AI models
Data model design
Commercial use (data warehousing systems)
Performance tuning
Customer communication
SAFe
Databricks
Data Integration (Data management)
Waterfall
Data modeling projects
Ansible
Cloud governance
Test case design
Infrastructure as Code (IaC)
Spark
System performance optimization
Software implementation
Integration Architecture Design (Architecture design skills)
Enterprise solutions implementation
Apache Hive
AI platforms (beyond public GPTs)
Schema design
Data governance
Infrastructure architecture design
Technical solutions implementation
Data Architecture Design (Architecture design skills)
Machine learning cloud services
Azure Data Lake Storage
Machine intelligence
Cloud database architecture

Full Job Description

Mandatory Skills: Azure Databricks, Azure data lake, Ansible, SQL, Terraform, Kafka , Azure CLI, Databricks CLI, PowerShell and/or Bash.

What Could Set You Apart

Must have designed the E2E architecture of unified data platform covering all the aspects of data lifecycle starting from Data Ingestion, Transformation, operations, and consumption.
Experience in handling the key activities for the Enterprise Architecture practice for a specific sector.
Managing and mentoring architecture talent in the respective sector
Should have delivered architecture initiatives and showcased clear business efficiency in line with business strategies. Should have taken end-end responsibility & accountability in terms of architecture.
Should have delivered architecture roadmaps and develop delivery blueprints for the technology design.
Excellent communication skills and customer management skills
Should be able to deliver architectural initiatives in the space of digital, cloud, open-source technologies. Should have performed a similar role & capacity for large transformational engagements.
Hands on development Design and Develop applications using Databricks. Experience with Azure, AWS, or other cloud technologies
In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
Good to have any programming language experience with Python/ SQL or Spark/Scala.
Strong understanding of Data Modeling and defining conceptual logical and physical data models.
To be successful in this role, this individual must be familiar with data integration, data modeling, data warehousing, big data technologies, and should be the subject matter expert.
Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.
Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabilities.
Experience building and supporting mission-critical technology components with DR capabilities.
Experience with multi-tier system and service design & development for large enterprises
Exposure to infrastructure and application security technologies and approaches
Familiarity with requirements gathering techniques.

Required Qualifications

Must have excellent coding skills either Python or Scala, preferably Python.
Must have at least 10+ years of experience in architecture, design, implementation, and analytics solutions with total of 12+ years in Data Engineering domain.

Must have designed and implemented at least 2-3 projects end-to-end in Databricks.
Must have at least 3+ years of experience in databricks which consists of various components as below.

Delta lake
dbConnect
db API 2.0
SQL Endpoint Photon engine
Unity Catalog
Databricks workflows orchestration
Security management
Platform governance
Data Security

Must have followed various architectural principles to design best suited per problem.
Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments.
Must have strong understanding of Data warehousing and various governance and security standards around Databricks.
Must have knowledge of cluster optimization and its integration with various cloud services.
Must have good understanding to create complex data pipelines.
Must be strong in SQL and spark-sql.
Must have strong performance optimization skills to improve efficiency and reduce cost.
Must have worked on designing both Batch and streaming data pipeline.
Must have extensive knowledge of Spark and Hive data processing framework.
Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, Cloud databases.
Must be strong in writing unit test case and integration test.
Must have strong communication skills and have worked with cross-platform teams.
Must have great attitude towards learning new skills and upskilling the existing skills.
Responsible for setting best practices around Databricks CI/CD.
Must understand composable architecture to take full advantage of Databricks capabilities.
Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc.
Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when necessary.
Experience coordinating the intersection of complex system dependencies and interactions.
Experience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative, etc.

Preferred Qualifications

Good to have Rest API knowledge.
Good to have understanding around cost distribution.
Good to have knowledge on migration project to build Unified data platform.
Good to have knowledge of DBT.
Experience around DevSecOps including docker and Kubernetes.
Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools
Knowledge of programming and scripting languages such as JavaScript, PowerShell, Bash etc.
Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, Alteryx.
Experience with visualization tools such as Tableau, Power BI.
Demonstrated knowledge of relevant industry trends and standards

Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.

Click below to review information about our company's use of the federal E-Verify program to check work eligibility:

In English

In Spanish

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Refine Your Search

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