Frederick Fox

This role guides the development and management of a portfolio of solutions in the data, reporting, predictive intelligence, and data science domains. Solutions include projects, products, systems, shared infrastructure services and shared application services. The data architect provides the necessary thought leadership, analysis and design tasks to develop technology solutions that meet business needs and align with architectural governance and security standards. This includes the technical design, process design, architectural information model, and day-to-day contributing to data management and data governance practices as an influencer and stakeholder.  The role is expected to be hands-on – while you won’t necessarily be writing a lot of production code as part of project delivery, a successful candidate will be working closely with engineering staff and architects to directly develop PoC solutions and will be as comfortable working deep in the details as at the strategic level. Performance indicators·      Quality Attribute assessment of delivered solutions·      Application availability of delivered solutions ·      Production incident rate of delivered solutions ·      Percent of business data modelled and made available on the data platform·      Business value created through optimization, simplification, and/or rationalization of platforms and tools ·      Platform Health/ Vulnerability Assessments Responsibilities·      Provide architectural direction and guidance to data engineering teams ·      Translate business problems, requests, and/or requirements into defined data solutions ·      Document the data platform to effectively capture and communicate how business capabilities are realized or enabled through technology and process.·      Develop strategies, roadmaps, principles, standards, and best practices for the data platform. Develop PoCs as required.·      Support engineering teams in executing against strategies, roadmaps, principles, standards, and best practices for the data platform. ·      Provide coaching, mentoring and guidance for engineering and delivery teams·      Analyse industry, technology, and market trends to introduce best practice frameworks/capability models tailored to control costs, provide higher quality and/or increase predictability of service delivery Requirements·      Seven (7) years experience in data architecture or a related technical field with significant design contribution·      Strong knowledge of data ecosystems, Big Data patterns, Cloud Service Providers, business intelligence solutions, data integration patterns, common data warehousing patterns, retrospective reporting, predictive analytics, and exploratory analytics patterns.·      Strong knowledge of modern data and platform delivery practices in one or more recognized paradigms (data fabric, data mesh, data warehouse, data lake house, data lake, etc.)·      Expert knowledge across a broad set of data delivery and data hosting platforms. (RDBMS, NoSQL tools, data warehouses, data query tools, data visualization tools, persistent data models, integration platforms, etc.)·      Expert understanding of data engineering fundamentals, implementation of modern data platforms, and data modelling characteristics·      Familiarity with of information management practices, system development life cycle management, IT services management, and one or more architectural frameworks·      Strong knowledge of AWS, Azure, GCP, Snowflake, or equivalent. Slight preference for GCP, but a track record of delivering quality data solutions outweighs specific technology affinity. ·      MDM knowledge (Reltio, Informatica, or similar) is a plus Education·      Bachelor’s degree in Computer Science or related field, 7 years of experience in building data platforms, data architecture, or an equivalent combination of education and experience<h1 style="line-height:1.2;margin:0px;"> </h1>

This role guides the development and management of a portfolio of
solutions in the data, reporting, predictive intelligence, and
data science domains. Solutions include projects, products,
systems, shared infrastructure services and shared application
services. The data architect provides the necessary thought
leadership, analysis and design tasks to develop technology
solutions that meet business needs and align with architectural
governance and security standards. This includes the technical
design, process design, architectural information model, and
day-to-day contributing to data management and data governance
practices as an influencer and stakeholder.

The role is expected to be hands-on – while you won’t necessarily
be writing a lot of production code as part of project delivery,
a successful candidate will be working closely with engineering
staff and architects to directly develop PoC solutions and will
be as comfortable working deep in the details as at the strategic
level.

Performance indicators

· Quality Attribute assessment of delivered solutions

· Application availability of delivered solutions

· Production incident rate of delivered solutions

· Percent of business data modelled and made available on
the data platform

· Business value created through optimization,
simplification, and/or rationalization of platforms and tools

· Platform Health/ Vulnerability Assessments

Responsibilities

· Provide architectural direction and guidance to data
engineering teams

· Translate business problems, requests, and/or requirements
into defined data solutions

· Document the data platform to effectively capture and
communicate how business capabilities are realized or enabled
through technology and process.

· Develop strategies, roadmaps, principles, standards, and
best practices for the data platform. Develop PoCs as required.

· Support engineering teams in executing against strategies,
roadmaps, principles, standards, and best practices for the data
platform.

· Provide coaching, mentoring and guidance for engineering
and delivery teams

· Analyse industry, technology, and market trends to
introduce best practice frameworks/capability models tailored to
control costs, provide higher quality and/or increase
predictability of service delivery

Requirements

· Seven (7) years experience in data architecture or a
related technical field with significant design contribution

· Strong knowledge of data ecosystems, Big Data patterns,
Cloud Service Providers, business intelligence solutions, data
integration patterns, common data warehousing patterns,
retrospective reporting, predictive analytics, and exploratory
analytics patterns.

· Strong knowledge of modern data and platform delivery
practices in one or more recognized paradigms (data fabric, data
mesh, data warehouse, data lake house, data lake, etc.)

· Expert knowledge across a broad set of data delivery and
data hosting platforms. (RDBMS, NoSQL tools, data warehouses,
data query tools, data visualization tools, persistent data
models, integration platforms, etc.)

· Expert understanding of data engineering fundamentals,
implementation of modern data platforms, and data modelling
characteristics

· Familiarity with of information management practices,
system development life cycle management, IT services management,
and one or more architectural frameworks

· Strong knowledge of AWS, Azure, GCP, Snowflake, or
equivalent. Slight preference for GCP, but a track record of
delivering quality data solutions outweighs specific technology
affinity.

· MDM knowledge (Reltio, Informatica, or similar) is a plus

Education

· Bachelor’s degree in Computer Science or related field, 7
years of experience in building data platforms, data
architecture, or an equivalent combination of education and
experience

Data Architect

About the role

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