Data Architect

At BCE Global Tech we are on a mission to modernize global connectivity, one connection at a time. We aim to build the highway to the future of communications, media and entertainment, determined to emerge as a powerhouse within the technology landscape in India team in Bengaluru.

We bring ambitions to life through design thinking that bridges the gaps between people, devices and beyond, fostering unprecedented customer satisfaction through technology.

Our core values support a customer-centric approach and the harnessing of cutting-edge technology to provide business outcomes with positive societal impact. Guided by innovation and a commitment to progress, we’re shaping a brighter future for the generations of today and tomorrow.

If you would like to be a part of a team of thought-leaders pioneering advancements in 5G, MEC, IoT and cloud-native architecture, we’d love to hear from you.

Position Summary

• 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.

Benefits

What We Offer

• Competitive salaries and comprehensive health benefits.
• Flexible work hours and remote work options.
• Professional development and training opportunities.
• A supportive and inclusive work environment.