C- Senior Data Architect (Retail Client)

C- Senior Data Architect (Retail Client)- Remote

Duration: up to 6 months (right now for the first WO very good chance of getting extended)

Location: 100% Remote

Partner,

We have a consulting opportunity for a Senior Data Architect for a Retail client. The technical requirements for this position are below. The job is 100% remote location. The duration for this project is 6 months with a possibility of extension. Please make sure that any proposed candidate has met the requirements.

Summary:

The Data Architect is responsible for designing data infrastructure to extract and organize data for business use. Their duties include identifying a company's internal and external data sources, collaborating with department heads to determine their data storage and organizational needs and using the information to create and maintain data infrastructure for the company. Their scope includes the relevant components required to drive sound and scalable data architecture designs that are compiled through a depth of Retail business experience. Enforcing data integrity & data quality maturity in support of both operational centralization and analytical excellence at scale.

In addition, this role is responsible to define & deliver best in class Data Architecture solutions across all required domains pursuing enterprise relevant solutions for high-value critical data covering master & transactional data including but not limited to Product/Item, Customer/Consumer, Location, Supplier/Vendor, Calendar, Price and all required Hierarchies, Reference data and Metadata. They will deliver a highly connected, single version of truth through our Enterprise Semantic Layer. They will participate in defining their components within and adhere to overall project lifecycle.

• Bachelors in Computer Science or relevant field, 7+ years experience in data architecture with a knowledge of a variety of data related disciplines such as MDM, enabling BI Semantic layer, analytics and visualization tools.
• Proven work experience as a Data Architect
• In-depth understanding of database structure principles
• Data & Master Data Management depth of knowledge
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Business Process Centric Data Architecture enabling efficiency Data processes and performant, easy to use solutions
• Data Quality practice that enables - Business intelligence & Design thinking
• Cross Domain of Functional & Master Data knowledge
• Data Architecture Modeling: Analytical and Operational Data Architecture designs & management including Taxonomy & Hierarchy capabilities
• Data Analysis, Querying
• Experience with Python, Spark, SQL, Databricks, Azure Data Factory, Azure DevOps, erWin, CI/CD
• Proficiency in MS Excel
• Familiarity with data visualization tools (e.g. Power BI)
• Proven analytical skills
• Problem-solving attitude Compliance, Privacy and regulatory data knowledge
• Retail Industry experience a plus

Engage with a collaborative and proactive approach to solving key business & data challenges through data architecture --- enforcing the "build once deploy many" approach through our data designs.

Architect data to ensure high integrity, re-usability enhancing efficiency, minimizing human touch and ensure business realization bringing to life 'Data at your fingertips" for our business users.

Bring best-in-class and right sized Data architecture designs to life for the client.

Partner closely with business partners and E2E Solution leaders to ensure initial and ongoing Data Architecture needs are met in a easy to use, meaningful, highly automated, low-cost manner.

Anticipate business needs and proactively design and deliver data architecture designs that increase agility & scalability while reducing data & tech debt.

Ensure solutions meet stability concerns for ongoing performance, maintenance and support.

Propose & Adhere to Data Architecture & work delivery standards

Install and configure information systems to ensure functionality

Optimize new and current database systems

Develop database design and architecture documentation

Analyze structural requirements for new software and applications

Migrate data from legacy systems to new solutions

Design conceptual and logical data models and flowcharts

Integrate disparate data models across the company into one enterprise-wide Unified Data Platform design

Drive culture of standardization in data transformation and analytic logic

Develop a corporate data library / metadata repository including best practice for development of data transformation specifications

Improve system performance by conducting tests, troubleshooting and integrating new elements