Data Architect

We are seeking an experienced Data Architect to join our team. The ideal candidate should have a deep understanding of data architecture principles and practices, as well as experience designing and implementing data solutions. The Data Architect will be responsible for developing and maintaining data models, designing data storage solutions, and ensuring data quality and integrity.

Responsibilities:

Design and develop scalable and efficient data solutions that meet business requirements.

Create and maintain data models and documentation.

Develop and implement data migration and transformation strategies.

Participate in pre-sales activities

Work with cross-functional teams to identify and resolve data-related issues

Collaborate with data engineers and data scientists to ensure data accuracy and consistency.

Ensure compliance with data security and privacy policies and regulations.

Stay up-to-date with emerging technologies and trends in Cloud, data integration and data management

Core Skills for Data Engineer:

Proficiency in Python and SQL

Experience working with Linux and AWS

Strong analytical and problem-solving skills

Ability to work independently and in a team environment

Excellent communication and interpersonal skills

Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus

Experience with data warehousing, ETL, and data integration and data management is highly desirable

Knowledge of AWS and Azure is a plus.

Qualifications:

Bachelors or masters degree in computer science, information technology, or related field

Minimum of 10 years of experience in data architecture or related field

Experience designing and implementing data solutions for enterprise-level organizations

Strong knowledge of data modeling and database design principles

Knowledge of data governance and compliance requirements

Familiarity with Agile development methodologies and DevOps practices

Deep and extensive understanding of Data Strategy, Data Management, and Data Analytics principles, and one or more of several common Data Management methodologies and capability models (eg DAMA DMBOK, DCAM, CDMC) and toolsets

Must have skills:

Excellent communication and interpersonal skills

Excellent client presentation skills

Strong analytical and problem-solving skills

Ability to work independently and in a team environment

You will also play a key role in developing the Data Strategy & Advisory capability within Logan Data Inc., which may include:

• Managing and running capability offerings or operational areas, in partnership with the Capability, Data Practice and Tech Leads
• Developing and sustaining excellent internal and external client and vendor partnerships
• Identifying and researching business development opportunities on new or existing clients and directing the development of client proposals and bids
• Defining internal / external-facing thought leadership
• Developing data methodologies and accelerators