Senior Data Architect

Hybrid in Minepolis, MN, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract Corp To Corp
Contract W2
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Apache Hadoop
  • Apache Kafka
  • Apache Spark
  • Big Data
  • Data Governance
  • ELT
  • Google Cloud Platform
  • SQL
  • Modeling
  • Orchestration
  • Data Warehouse
  • Data-flow Diagrams
  • Data Structure
  • Data Retention
  • Data Quality
  • Data Architecture
  • Data Integration
  • Data Flow
  • Data Lake
  • Extract
  • Transform
  • Load
  • Microsoft Azure
  • Meta-data Management
  • Database
  • Artificial Intelligence
  • NoSQL
  • Upgrades Management

Summary

Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specialising in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.

With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.

By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.

We are looking for an Senior Data Architect opportunity with one of our clients.

Job Description

Title: Senior Data Architect

Location: Minneapolis, MN (4 days onsite) OR Hartford, CT (Need only local candidates)

Long term Contract

A thought leader who can define and build out the components of a comprehensive data strategy and architecture with a strong focus on AI. This person should have deep expertise in modern data architecture patterns and the ability to articulate a clear, forward-looking vision.

The Senior Data Architect delivers the data vision and strategy for the organization, as defined by the Chief Data Architect (or equivalent leadership). This role is responsible for the design, governance, and technical oversight of the enterprise data architecture, ensuring that data systems are scalable, secure, compliant, and aligned with core business needs.

Key Responsibilities

  1. Data Architecture & Design
  • Data Modeling: Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms.
  • Data Flow: Define and create data flow diagrams and orchestration strategies, ensuring efficient and governed data movement between up- and downstream systems.
  • System Alignment: Collaborate closely with Application and Cloud Architects to ensure the organization s technical systems are designed to fully support the established data architecture standards.
  • Technology Selection: Develop product short-lists and evaluation criteria for selecting data architecture components, such as data warehousing solutions, Big Data platforms (e.g., Hadoop, Spark, Kafka), and database technologies (SQL/NoSQL).
  1. Data Governance & Quality
  • Governance Frameworks: Evolve and define data governance policies, standards, and best practices across the organization.
  • Metadata Management: Design, support, and manage data dictionaries, metadata repositories, and common entities to ensure consistent use and definition of data.
  • Data Quality: Drive the standards for Data Quality across multiple datasets, ensuring consistency and data trust across the enterprise.
  • Compliance: Design data retention, upgrade, management, decommission, and archive strategies in compliance with data policies and regulatory standards (e.g., data privacy).
  1. Technical Leadership & Mentorship
  • Oversight: Provide technical oversight, advice, and guidance to other Data Architects, Data Engineers, and development teams regarding data structures and associated components.
  • Standard Enforcement: Ensure project teams adhere to the corporate data standards and architectural principles set by data leadership.
  • Mentorship: Mentor and support colleagues in multi-disciplinary teams, promoting best practices in data architecture and design.

Required Skills and Experience

Technical

  • Advanced experience in designing and implementing data models (Star Schema, Snowflake, etc.).
  • Expertise in a wide variety of database technologies, including relational (SQL) and NoSQL platforms, and Big Data technologies.
  • Demonstrated ability to architect scalable, high-performance data warehousing and data lake solutions on major cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
  • Strong understanding of ETL/ELT tools, data integration strategies, and advanced data processing techniques.

If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to ranjitnair at sensiple dot com

Regards

Ranjit Nair | Sensiple Inc.,

7 3 2 2 8 3 0 4 9 9 x 234

ranjitnair at sensiple dot com

555 US Highway 1 S, Ste 330 Iselin, NJ 08830

Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: estarpro
  • Position Id: RAN-SDA-C-MN
  • Posted 1 hour ago
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