Enterprise Data Architect at Aptiv

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

Expertise in conceptual, logical, and physical data modeling techniques
Proficiency with relational databases, NoSQL solutions, data warehouses, and data lakes
Knowledge of Hadoop, Spark, Kafka, and other distributed processing systems
Design and optimization of ETL/ELT data integration pipelines
Implementing data quality, master data management, and metadata management
Advanced SQL skills and performance tuning expertise
Experience with AWS, Azure, or GCP data services
Understanding of data protection, encryption, access controls, and compliance requirements
Data strategy development aligning data architecture with business objectives
Understanding of enterprise architecture and how data fits within broader systems
Data lifecycle management policies for retention, archiving, and disposal
Communication skills to explain complex data concepts to non-technical stakeholders
Collaboration with data engineers, analysts, scientists, and business teams
Problem-solving for complex data challenges with innovative solutions
Documentation skills for data dictionaries, models, and architectural diagrams
Project management for coordinating data architecture initiatives

Responsibilities

Design and implement comprehensive data architecture frameworks and data models
Develop data management strategies, governance policies, and quality standards
Create and maintain data dictionaries, taxonomies, and metadata repositories
Collaborate with stakeholders to understand business requirements and translate them into technical specifications
Establish data integration processes between disparate systems
Implement security measures to protect sensitive data
Evaluate and recommend appropriate data storage solutions (relational databases, data warehouses, data lakes)
Guide ETL processes and data pipeline development
Mentor data engineers and analysts on best practices

Skills

Data Modeling

ETL

Data Pipelines

Data Governance

Relational Databases

Data Warehouses

Data Lakes

Metadata Management

Data Integration

Aptiv

Develops integrated systems for vehicles

About Aptiv

Aptiv develops integrated vehicle systems for the automotive industry, focusing on software-defined vehicles. Their products help tackle challenges related to autonomous driving, vehicle electrification, and advanced safety features. Aptiv collaborates with major car manufacturers and other mobility stakeholders to enhance vehicle performance and safety through their technological solutions. Unlike many competitors, Aptiv emphasizes a partnership model, providing ongoing support and integration of their systems into vehicles. The company's goal is to improve the overall driving experience and safety in vehicles while advancing the future of mobility.

Dublin, IrelandHeadquarters

1994Year Founded

$7.8MTotal Funding

IPOCompany Stage

Automotive & TransportationIndustries

10,001+Employees

Risks

Amazon's entry into connected cars increases competition for Aptiv.

Investment in MAXIEYE exposes Aptiv to geopolitical and regulatory risks.

Oragadam plant expansion may strain finances if demand doesn't meet expectations.

Differentiation

Aptiv integrates software and systems for autonomous driving and vehicle electrification.

The company collaborates with major car manufacturers for software-defined vehicle solutions.

Aptiv operates 14 technical centers globally, enhancing its R&D capabilities.

Upsides

Aptiv's investment in MAXIEYE expands its presence in the Chinese automotive market.

The Oragadam plant expansion increases production capacity for advanced vehicle systems.

Participation in CES 2025 showcases Aptiv's leadership in automotive technology innovation.

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