
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 systems, CRM platforms, and supply chain management solutions using advanced technologies including cloud computing, artificial intelligence, and data analytics. Their solutions focus on intuitive interfaces, scalable architectures, seamless integrations, and high data security standards. The company serves various industries including healthcare, retail, and manufacturing, delivering digital transformation and innovation to optimize operations and drive growth. They have completed over 0 projects with numerous satisfied clients and have won 14+ awards, supported by a team of over 50 engineers.

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 systems, CRM platforms, and supply chain management solutions using advanced technologies including cloud computing, artificial intelligence, and data analytics. Their solutions focus on intuitive interfaces, scalable architectures, seamless integrations, and high data security standards. The company serves various industries including healthcare, retail, and manufacturing, delivering digital transformation and innovation to optimize operations and drive growth. They have completed over 0 projects with numerous satisfied clients and have won 14+ awards, supported by a team of over 50 engineers.
π Location:
Green Forts 2, Lahore
π Shift: Night Shift (6:00 PM β 3:00 AM)
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 :
β Architect and design enterprise data systems , including databases, data warehouses, and data lakes.
β Define and maintain entity relationship diagrams (ERDs) in collaboration with BI teams to ensure alignment between business needs and data models.
β Develop and implement frameworks for data modeling, storage, organization, and accessibility.
β Establish and manage a centralized data dictionary to m aintain data consistency across the organization.
β Collaborate with cross-functional teams (engineering, product, business intelligence, and data governance) to define and execute data strategies aligned with business processes.
β Ensure data governance , security, and compliance with applicable standards and regulations.
β Evaluate and optimize data infrastructure for scalability, performance, and cost efficiency.
β Develop and maintain APIs supporting integration between data platforms and applications.
β Implement standardized data architecture practices across new and existing solutions.
β Monitor and maintain the overall health, quality, and performance of all data systems and pipelines.
β Support technical meetings as a shadow participant to provide insights, recommendations, and technical support when required.
β Manage multiple concurrent projects, ensuring effective coordination and prioritization of deliverables.
β Promote a culture of accountability, ownership, and excellence in data engineering practices.
Required Qualifications :
β Bachelorβs degree in Computer Science, Information Systems, or a related field (or equivalent experience).
β 4+ years of hands-on experience with SQL and relational database systems (e.g., MySQL).
β 3+ years of experience with Snowflake.
β 4+ years of experience with Azure Data Lake.
β 4+ years of experience with BI tools such as Tableau, Power BI, or similar.
β Strong experience with microservices architecture, containerization, and Azure Cloud platforms.
β Familiarity with SaaS environments and data integration frameworks.
β Proficiency in SDLC and Agile methodologies , with experience implementing agile practices across teams.
β Proven ability to inspire accountability and foster ownership in data platform initiatives.
β Demonstrated success in creating a data vision and long-term roadmap , and leading technical execution.
β Strong stakeholder management and cross-functional collaboration skills.
β A customer-first and product-oriented mindset applied to data engineering initiatives.
β Ability to influence change and deliver results in complex , matrixed organizations.
Preferred / Good-to-Have Qualifications :
β Experience working with international clients across different time zones and business cultures.
β Excellent communication and presentation skills, with the ability to simplify complex technical concepts for non-technical stakeholders.
β Proven experience working with cross-functional teams and managing multiple projects simultaneously.
β Willingness to attend meetings as a technical shadow and provide insights , troubleshooting, or solution support as needed.
β Experience with data governance tools, metadata management, and data observability frameworks.
β Knowledge of data quality management , lineage tracking, and auditing.
β Familiarity with API-driven data architectures and real-time data pipelines.
β Understanding of data security frameworks and compliance standards (e.g., GDPR, HIPAA).
Ideal Candidate Profile :
The ideal candidate is a strategic and hands-on data leader who combines deep technical expertise with strong communication and collaboration skills. They are capable of working across multiple teams and projects, balancing architectural vision with delivery execution. This person thrives in dynamic environments, takes ownership of outcomes, and is passionate about building scalable, secure, and high-quality data ecosystems that empower business growth.
π© Apply here: https://lnkd.in/d93ds-7c
π¬ Or DM / Email: vaneezashahzadi5@gmail.com
Contact : 0316-3337339