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Hiring For Data Solution Architect, Hybrid in AZ :: Need Local or nearby only at Scottsdale, Arizona, USA
Email: [email protected]
Title:- Data Solution Architect

Client: Discount Tire

Location: Scottsdale, AZ (Must be onsite 2-days a week/Thursdays are mandatory)

Need Local or Nearby state candidate

***** No Travel Expenses                             

Must Haves:

AWS

Architecture solution designs with a focus on data warehousing and analytics

Plusses:

Getting into data vault with data modeling

Snowflake and Databricks

Sr Data & Solutions Architect

Under minimal Supervision the Sr. Data and Solutions Architect provides vision, direction, as well as hands-on technical expertise in designing and building analytics solutions that support enterprise decision
support, strategic insights and data science initiatives. In partnership with Enterprise Architecture and IT Engineering teams, this role will drive Discount Tires analytics technology roadmap, aligning information assets and analytics capabilities to achieve
business objectives of strategic initiatives, programs and projects leveraging the powerful capabilities of a modern analytics platform.

Essential Duties and Responsibilities:

Drives
Discount Tires enterprise analytics architecture to support enterprise insights and decision-making architecture leveraging established architecture disciplines.

Leverages
knowledge of the organizations information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized analytics platform.

Define
strategies to operationalize analytics supporting capabilities in discovery, analysis, and reporting across business segments.

Analyze,
shape, and prioritize data and analytics technologies to business capabilities aligning to  current requirements along with future needs without significant rework.

Perform
hands-on solution design, solution architectures, architecture roadmaps, prototyping, proof-of-concepts, and development tasks as required in support of projects and products as requested.

Develops
SQL queries to extensively to research, understand and relate distributed data repositories across enterprise.

Develops
and documents data models; ensuring that data is defined and searchable; collaborates with various users across the organization to capture output/ process changes and revise data models.

Supports
Data Science team in the approach to implement advanced analytical models and supporting data pipelines as well and developing the strategies and approaches for Analytics as a Service.

Ensures
accurate documentation of data assets; identifies critical gaps in information domain through a combination of workshops, interviews and internal analysis of various documentation.

Partners
effectively with MDM (Master Data Management), Data SMEs and other stakeholders (Sponsors, Product solutions architects etc.) to design solutions, including identifying and filling critical gaps.

Develops
and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions.

Plan,
design, and monitor these security, usability and stability of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.

Act
as a liaison between Technical team, Functional team, Business Functions, and System Integrators to drive architecture solutions.

Document
and proficiently explain complex architectures to technical and functional peers and-as needed--to other levels of the organization.

Ability
to support: translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems, and estimation of the financial impact of solution architecture alternatives.

Work
with other product team(s) to define data dictionary, data lineage and relationship metrics.

Stays
current on the latest technologies, trends and strategies.

Other
duties as assigned.

Qualifications:

This
position requires a minimum of eight years of progressive analytics architecture experience.

This
position requires a minimum of five years of experience with business process design and improvement.

Experience
in developing integrated solutions involving process, data, and technology.

Strong
conceptual, strategic thinking, problem solving, technical, and analytical skills.

Corporate
retail experience is preferred including, but not limited to, data handling in a cloud-based environment, data governance, data quality and in database management and operations.

Proven
understanding of end-to-end flows and processes of enterprise data.

Proven
ability to collaborate with data SMEs and developers across the organization.

Hands-on
/ In-depth experience in following tools, technologies & Concepts such as, SQL (advanced level), Data management, Master Data Management (preferred customer data focus), Business Intelligence, SOA, Microservices and Content Management.

Hands
on experience in data profiling, data extraction and data validation.

Understanding
of Data Science methodologies/concepts including general statistical concepts, machine learning, feature engineering and artificial intelligence.

Demonstrated
experience of metadata concepts including but not limited to items collection, repositories, technical and/or business content and data lineage.

Experience
in creating logical and physical data models are required. Understanding of Kimballs methodology is required.

Experience
working with data lake(s) and understanding of various frameworks and methodologies used around Hadoop or Hadoop like systems.

Experience
working in mission critical ODS and Enterprise Data Warehouse environments.

Experience
with AWS frameworks, data tools and environment.

Understanding
of data architecture practices and governance methodologies.

Proficiency
with Microsoft Office, including skills with Word, Excel, SharePoint, PowerPoint, and Visio is required.

Proven
understanding of project management and the software development lifecycle is required.

Demonstrated
business acumen with knowledge and understanding of business issues, priorities, goals, and strategy is necessary.

Demonstrated
ability to communicate across all levels of the organization, presenting complex ideas concisely and clearly articulate ideas verbally and in writing is necessary.

Proven
ability to work efficiently and accurately under pressure, meet deadlines and present a professional demeanor is essential.

Customer
service skills, including the ability to manage and respond to different customer situations while maintaining a positive and friendly attitude are essential.

In
addition, organizational and problem-solving skills, a can-do attitude, and the ability to adjust to changing requirements are essential.

Educational Requirements:

This position requires a Bachelor's Degree in information technology, Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related field, or equivalent work experience.

Thanks & Regards

Manish Kumar

Sr. Technical Recruiter

Email:        

[email protected]

Linkedin:

linkedin.com/in/manish-chaudhary-jaat-21b9011a3

ANVETA, Inc

Address: 1333 Corporate Drive, Suite #108 Irving, TX 75038, USA

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Keywords: business intelligence information technology Arizona Texas
Hiring For Data Solution Architect, Hybrid in AZ :: Need Local or nearby only
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Wed Jul 31 01:53:00 UTC 2024

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Location: Scottsdale, Arizona