Data Architect

Top Skills :

Snowflake

Data Architecture

Medallion / Data Lake architecture

AWS

Job Title

Data Architect

Responsible for translating the vision, goals and business requirements for a data analytics project or product into technical specifications. Designs fit-for-purpose data solutions using appropriate architectural design patterns that support business needs. Provides direction for data architecture design, planning and development and guides future updates and enhancements. Possesses a strong combination of IT, data governance, analytics, and creative skills. Plays a pivotal role in extending the next generation of the data ecosystem and operationalizing the most urgent data and analytics initiatives.

Requirements

Bachelor's degree in data management, computer science, information systems, mathematics, data / analytics, or a related field preferred or equivalent work experience

At least 3-4 years of work experience in data management disciplines including data integration, data modeling, solutions architecture, optimization, and data quality

Knowledge of business systems and processes and their impact on data and analytics objectives

Ability to assess rapidly changing technologies and apply them to business needs

Business domain, data / content and process understanding

Understanding of the Business Intelligence, Data Engineering and Data Science and Data Governance processes and platforms

Thorough knowledge of relational and non-relational database theory and structured query language (SQL)

Understanding of common data architecture frameworks

Understanding of metadata models, taxonomies, and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources

Skilled working across multiple deployment environments including cloud, on-premises, and hybrid

Adept at applying software engineering methodologies and DevOps principles to data architectures and platforms to improve the communication, integration, reuse, and automation of data flows across the organization

Exceptional analytical, quantitative, and logical problem-solving abilities

Must be highly creative, collaborative, and able to communicate effectively with IT and business

Capacity to be productive when working independently or collaboratively

Ability to effectively manage time to handle competing high priority projects

Lead and Principal Positions Requirements (in addition to requirements above)

Significant experience in successfully launching, planning, executing data architecture projects

Strong employee development skills, which include onboarding, mentoring, and coaching staff

Ability to analyze project, program, and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers

Proven ability to establish the strategic direction of a team and manage analytics projects

Persuasive with excellent interpersonal skills and the ability to interact effectively with others, including team members and senior management

Skilled in all areas of analytics personnel management, particularly employee selection, training, performance evaluation and salary development

This would be more for setting up Data Architecture practice current one is involved in Investment

Maybe some assistance with data analysts, metrics, KPI's

• AWS, data lake concepts are critical
• Snowflake is also critical here

Have one BI resource and Data Architect who have some experience in Snowflake, but this person will be setting up standards, best practices to utilize snowflake.

Making sure they have a consistent approach

Azure is always a plus

• Data Modeling is important
• Looking for a true Architect

Sometimes you must do POC's but no engineering

Will be doing the design / build