Data Architect

Description
Conversion Salary: $130K-$156K
Critical Ask:
Insurance and Financial service domain knowledge.
Expert in Microsoft stack - Fabric, Databricks, Snowflake etc.
Past experience working with building data products
Practical experience building MVPs in Agentic AI for Data Management
Strong communication and Interaction skills
I am not super stuck on number of years of experience , as long as person is strong in above things.

Job Purpose:

Brief and in a few sentences statement of the reason the job exists.
The Data Architect II is responsible for designing, managing, and optimizing the organization's data architecture, ensuring the efficient flow, governance, and utilization of data across multiple platforms. This role also focuses on building modern robust and scalable data architecture approach , enhancing data strategy, and supporting data-driven business decisions. As a member of the team, the Data Architect also provides Technical guidance and mentorship to junior team members and works closely with cross-functional teams to ensure architectural approach and alignment with business goals.

Job Responsibilities:

List of general activities, duties and/or tasks typically performed within the job.
Data Architecture Design & Implementation
Establish the future-state data architecture and blueprints that enables enterprise data needs and ensures that systems are cost & Performance optimized.
Establish Modern data platform & toolset that empowers enterprise OKRs and establish data as strategic assets for business growth.
Develops and communicates comprehensive data architecture processes, ensuring alignment with enterprise data standards.
Designs and implements modern data architectures that support cross-functional initiatives, working across business units to address enterprise-wide needs.
Develops advanced conceptual and logical data models, driving consistency and standardization across data modeling practices
Oversees the determination of enterprise data storage approach and defines strategies for reuse of existing data to meet broader project needs.
Implements and advocates for data management best practices, including storage, integration, and consumption patterns, ensuring all solutions contribute to scalable and reusable data architectures
Leads data integration efforts across multiple systems, ensuring the effective integration of data from multiple sources into centralized platforms.
Collaborate with Dev Ops and engineering teams to implement data storage and management systems.
Develop and maintain the architectural blueprint for data products , data warehouses, data lakes, and cloud environments.
Create and maintain comprehensive documentation of data architecture, models, and data flows.
Data Governance & Quality Management
Incorporates data & AI governance principles into architectural decisions, ensuring that data management practices adhere to organizational policies.
Establish and oversee Data Lineage and data quality standards, including data cleaning, validation, and monitoring processes.
Ensures that data security measures, such as access control and encryption, are appropriately implemented for sensitive data.
Collaboration & Stakeholder Engagement
Work closely with business units, IT teams, and leadership to align the data architecture with business objectives.
Serve as a technical expert in discussions on data strategy, system design, and best practices.
Lead cross-functional teams within matrix organization in implementing data-related projects and system improvements.
Technology Evaluation & Innovation
Stay up to date with industry trends and emerging technologies in data architecture, management, and analytics.
Develop in-depth knowledge of AI/Gen-AI impacts on Data engineering & management capabilities and work with AI/Innovation team to bring most relevant AI led intervention for Data teams. Evaluate new tools, platforms, and systems that could enhance the company's data infrastructure.
Propose innovative solutions and optimizations to existing data structures, tools, and technologies.
Lead proof-of-concept (POC) initiatives to evaluate new technologies and assess their fit with the company's goals.
Ensure that the organization's data architecture adheres to relevant industry regulations and compliance standards.
Proactively assess and modernize legacy tools ensure ongoing focus on tech debt reduction.
Mentorship & Team Development
Provide technical leadership and mentorship to junior data engineers and architects.
Offer training and support in best practices for data design, architecture, and governance.
Help build and develop the data team's skills, fostering a collaborative and innovative work environment.
The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.
Skills
Microsoft Fabric, Azure Cloud Data Platforms, Data Product Architecture, Enterprise Data Modeling
Top Skills Details
Microsoft Fabric,Azure Cloud Data Platforms,Data Product…