Senior Data Architect | Mavericks United · Teeming.ai
Mavericks United
Mavericks Labs is a technology company based in New York, specializing in custom enterprise software solutions that address unique business challenges. They develop tailored software such as ERP…
Mavericks Labs is a technology company based in New York, specializing in custom enterprise software solutions that address unique business challenges. They develop tailored software such as ERP…
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Data Architect
Overview
We are seeking an experienced
Data Architect
to lead the design, strategy, and governance of enterprise-level data systems. This role involves defining
modern data architecture frameworks
that enable seamless reporting, analytics, and business intelligence across the organization.
The ideal candidate will partner with
technology, product, and business teams
to build scalable, secure, and high-quality data solutions that power data-driven decision-making.
Key Responsibilities
Required Qualifications
Preferred / Good-to-Have Qualifications
Would you like me to make it more
brand-aligned and engaging
(e.g., with Mavericks United’s bold, modern tone)? That version would read less corporate and more dynamic for social or hiring post use.
share cv at mahrukh.maverickslabs@gmail.com or 03341008853
Architect and design enterprise data systems, including databases, data warehouses, and data lakes.
Define and maintain
Entity Relationship Diagrams (ERDs)
in collaboration with BI teams to ensure alignment between business needs and data models.
Develop and implement frameworks for
data modeling, storage, organization, and accessibility
.
Establish and manage a
centralized data dictionary
to maintain data consistency across the organization.
Collaborate with cross-functional teams (Engineering, Product, Business Intelligence, and Data Governance) to define and execute
data strategies
aligned with business processes.
Ensure
data governance, security, and compliance
with applicable standards and regulations.
Evaluate and optimize
data infrastructure
for scalability, performance, and cost efficiency.
Develop and maintain
APIs
supporting integration between data platforms and applications.
Implement standardized
data architecture practices
across new and existing solutions.
Monitor and maintain the
overall health, quality, and performance
of all data systems and pipelines.
Support technical meetings as a
shadow participant
to provide insights, recommendations, and technical support when required.
Manage multiple concurrent projects, ensuring effective coordination and prioritization of deliverables.
Promote a culture of
accountability, ownership, and excellence
in data engineering practices.
Bachelor’s degree in
Computer Science, Information Systems,
or a related field (or equivalent experience).
5+ years
of hands-on experience with
SQL
and relational database systems (e.g., MySQL).
3+ years
of experience with
Snowflake
.
5+ years
of experience with
Azure Data Lake
.
5+ years
of experience with
BI tools
such as Tableau, Power BI, or similar.
Strong experience with
microservices architecture, containerization,
and
Azure Cloud platforms
.
Familiarity with
SaaS environments
and
data integration frameworks
.
Proficiency in
SDLC and Agile methodologies
, with experience implementing agile practices across teams.
Proven ability to
inspire accountability
and foster ownership in data platform initiatives.
Demonstrated success in
creating a data vision and roadmap
and leading technical execution.
Strong
stakeholder management
and cross-functional collaboration skills.
A
customer-first
and
product-oriented
mindset applied to data engineering initiatives.
Ability to
influence change
and deliver results in complex, matrixed organizations.
Experience working with
international clients
across different time zones and business cultures.
Excellent
communication and presentation skills
, with the ability to simplify complex technical concepts for non-technical stakeholders.
Proven experience managing
multiple projects
simultaneously with cross-functional teams.
Willingness to attend meetings as a
technical shadow
, providing insights, troubleshooting, or solution support.
Experience with
data governance tools
,
metadata management
, and
data observability frameworks
.
Knowledge of
data quality management
,
lineage tracking
, and
auditing
.
Familiarity with
API-driven data architectures
and
real-time data pipelines
.
Understanding of
data security frameworks
and compliance standards (e.g., GDPR, HIPAA).
