JOB
SUMMARY

The Data Solutions
Architect develops and implements complex level frameworks that align the
organization's information technology infrastructure with business processes
and enterprise data to improve the efficiency of business operations. Data
solutions architect will design data governance to Architecture and help to
build and roll out governance frameworks across Minerva landscape. This job
also partners with leadership to understand the organization's architecture and
technology needs to help establish priorities and strategies consistent with
organizational goals.

·
DEPENDENCY IDENTIFICATION:
Identifies key technology interactions and dependencies across systems and
platforms to assess the organization’s ability to achieve integration,
compatibility, functionality and performance targets.

·
COST EVALUATION: Calculates
total cost of ownership and return on investment of various information
technology platform and infrastructure alternatives to support architecture
decision making.

·
CONTINUOUS IMPROVEMENT:
Implements continuous improvement efforts by working with teams to simplify and
optimize processes, improve data integrity, and leverage technical platforms.

·
STANDARDS, BEST PRACTICES &
ROADMAPS: Ensures alignment to technical architecture standards for platforms,
software, procedures for use by internal and external resources and,
communicates and documents current state architectures.

·
Identify value of future
scenarios, resource allocation, how to anticipate potential obstacles and contribute
to the end-to-end execution.

WORK EXPERIENCE REQUIREMENTS:

·
Minimum working experience of
12
plus years
in the industry with last
6 years in the data solutions
architecture space.

·
Very good experience designing
and rolling out data pipelines in large enterprises. A strong background in
data engineering tech stack is highly desirable.

·
Very good knowledge about AWS
cloud platform solutions with a focus on data security and data analytics.

·
Familiar with implementation of
fine
‑
grained access controls for data
assets, including role-based and attribute-based access patterns.

·
Well versed in architecting metadata
capabilities (cataloging, classification, lineage, and tagging) to support
governance, discoverability, and compliance.

·
Align platform implementations
with control frameworks such as NIST, Familiar with GDPR regulations, translating
policy requirements into enforceable technical controls and supporting audit
readiness.

·
Collaborate with data,
platform, and security teams to enable scalable, self-service data access while
maintaining strong governance standards.