Ford Motor Company

Data Architect

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Chennai • India

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Job Level

SeniorLead

Tech Stack

AWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopJavaKafkaNoSQLPostgresPythonScalaSparkSQL

About the role

  • Developing and optimizing database models and overall data architecture to store and retrieve company information efficiently.
  • Collaborating with business leaders and teams to translate information requirements into data-centric solutions, including databases, data warehouses, and data streams.
  • Designing conceptual and logical data models and flowcharts, defining database structures, and creating procedures to ensure data accuracy and accessibility.
  • Focusing on improving data quality, accessibility, and security across all systems and platforms.
  • Installing and configuring information systems, migrating data from legacy systems to new solutions, and improving system performance through testing, troubleshooting, and integrating new elements.
  • Working closely with product mangers, product owners, software developers, and other IT teams to implement data-related solutions and realize end-to-end data strategies.
  • Evaluating and recommending new technologies to enhance data management and supporting data analytics, AI solutions, and business intelligence projects.
  • Ensuring that industry-accepted data architecture principles and standards are integrated and followed for modelling, stored procedures, replication, regulations, and security.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field.
  • 8-12 years of experience in data architecture, data engineering, or database development.
  • Expertise in database technologies (SQL, NoSQL), data mining, and programming languages like Python, Scala, Java.
  • Proficiency in data modelling (Canonical Data Model, Semantic Data Model) and schema design.
  • Familiarity with ETL (Extract, Transform, Load) tools and processes for efficiently transforming and loading data.
  • Hands-on experience with cloud data platforms (GCP/Azure/AWS) and modern data processing tools.
  • Solid understanding of data governance, data quality, metadata management and master data management(MDM), referenced data management, transactions data management.
  • Experience with data lakehouse architectures, data mesh, or data fabric.
  • Familiarity with structural and non structural like big data tools (Hadoop/Spark, Kafka, Databricks, Big Query).
  • Experience supporting AI/ML workloads with high-quality data structures.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to create clear architecture artifacts and documentation.
  • Adaptability and a commitment to continuous learning to stay updated with evolving technologies.
  • Master’s degree or relevant certifications (GCP Data Engineer/Azure/AWS Data Architect, TOGAF).
  • Exposure to GCP data service like (Postgres, Big Query etc.)
  • Exposure in Automative Industry.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
database technologiesSQLNoSQLdata miningPythonScalaJavadata modellingETLdata lakehouse architectures
Soft skills
analytical abilitiesproblem-solvingcommunicationstakeholder managementadaptabilitycontinuous learning
Certifications
GCP Data EngineerAzure Data ArchitectAWS Data ArchitectTOGAF