Data Architect

The Data Architect will design and govern the enterprise data.architecture that enables scalable analytics, reporting, and data-driven decision-making across the organization.
This role is responsible for integrating data from multiple enterprises systems that includes, APIs, Operational, relational Databases, transforming and consolidating data into Teradata for analytics consumption.
The position acts as a bridge between onsite teams, business stakeholders, and engineering teams to deliver trusted, scalable, and actionable insights that support organizational goals.
Requirements
Why This Role Matters
Establish a single source of truth for organizational analytics and reporting.
Enable leadership with consistent, reliable, and timely business insights.
Improve visibility into engineering, delivery, operational, and performance metrics.
Drive data quality, governance, and standardization across data platforms.
Support strategic decision-making through centralized, trusted, and analytics-ready data assets.
Accelerate adoption of self-service analytics and data-driven culture across the organization.
Key Responsibilities
Data Architecture & Strategy
Design enterprise data architecture, data models, and integration frameworks.
Define data standards, governance practices, and architectural best practices.
Establish scalable solutions for data ingestion, transformation, and consumption.
Develop and maintain the analytics data roadmap aligned with business objectives.
Data Integration & Engineering
Build and oversee ETL/ELT pipelines to extract, transform, and load data into Teradata.
Integrate data from Jira, GitHub/GitLab/Azure DevOps, SQL Server, APIs, and other enterprise systems.
Ensure data quality, consistency, lineage, and performance optimization across the platform.
Design reusable and scalable data transformation frameworks.
Analytics Enablement
Create analytics-ready datasets to support operational, engineering, and business reporting.
Enable Power BI dashboards, KPI reporting, executive scorecards, and self-service analytics.
Partner with analytics teams to identify opportunities for data-driven improvements.
Drive data storytelling practices to transform data into meaningful business insights.
Stakeholder Engagement & Leadership
Partner with onsite stakeholders and cross-functional teams to define and deliver analytics solutions.
Translate business requirements into scalable technical architectures.
Provide technical leadership, mentoring, and architectural guidance to data and analytics teams.
Lead architecture reviews and promote best practices across projects and programs.
Present analytics strategies, recommendations, and insights to leadership teams.
Required Skills
Teradata, SQL Server, Advanced SQL, Python
ETL/ELT Design, Data Integration, and Data Transformation Frameworks
API Integration, Operational Data Integration and Enterprise Data Management
Data Modeling (Star Schema, Snowflake Schema, Dimensional Modeling) and Data Warehousing
Metadata Management and Data Lineage
Power BI and Analytics Reporting
Data Governance, Data Quality, and Performance Optimization
Strong Data Storytelling and Business Communication Skills
Stakeholder Management and Cross-Functional Collaboration
Expected Outcomes
Centralized and scalable enterprise analytics platform.
Reliable automated data pipelines and reporting solutions.
Improved data quality, consistency, and governance across integrated data sources.
Enable leadership teams with actionable insights and performance metrics.
Reduce manual reporting efforts through automation and standardization.
Improved business visibility through analytics, dashboards, and data storytelling.
Increased adoption of self-service analytics and data-driven decision-making.
Strong stakeholder satisfaction through delivery of trusted analytics capabilities.
Preferred Experience
12+ years of experience in Data Architecture, Data Engineering, Data Warehousing, and Analytics Platforms.
Experience working with global/onsite stakeholders and cross-functional teams.
Experience leading enterprise-scale analytics and reporting initiatives.
Knowledge of Cloud Data Platforms and modern data engineering practices is a plus.
Skills: sql,dwh,teradata,global stakeholder management,powerbi,etl

Work arrangement
No