The Role
Director Engineering (Data) | Reports To: Vice President, Engineering | Location: Bangalore
Who We Are
Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.
What You’ll Bring
Masters/ Bachelors degree in Computer Science (or related field) or equivalent
Experience in Software Delivery, Managing Stakeholders and Managing Managers.
Minimum Overall experience would be 15 years.
Minimum 8 Years of Hands-on Development Experience in Data Engineering.
Minimum 5 Years of Management experience and minimum 2 years in managing managers.
An attitude to take technical and delivery problems head-on and leading from the front.
You should be ready to roll up your sleeves and make your hands dirty whenever needed.
Need to be hands on in coding. This is a tech first role.
Hands On Experience in Agentic AI and Generative AI including - LLM training, Agentic Workflows, Prompt Engineerin, MCP, RAG
Hands On Experience with Data Ingestion, ETL, Data Pipelines, Data Migration, Data Architecture
Technical Skills
Programming Languages: Python, SQL, Java/Scala
Big Data Technologies: Apache Spark, Hadoop, Kafka, Hive, Trino
Any Cloud Platforms(AWS preferred):
AWS (S3, EC2, RDS, Lambda, DynamoDB, Glue)
Azure (Data Factory, Synapse, Databricks)
GCP (Big Query, Dataflow, Dataproc)
Data Warehousing: Snowflake, Redshift, Big Query, Fabric Data Warehouse
One or more of ETL/ELT Tools: Airflow, dbt, Informatica, Talend, Glue
Hands-on with GenAI
Databases (A combination of 1 or more from each type):
Relational: PostgreSQL, MySQL, SQL Server, Oracle
NoSQL: MongoDB, Cassandra, DynamoDB
Time-series: Influx DB, Timescale DB
Container & Orchestration: Docker, Kubernetes
Version Control: Git, GitLab/GitHub workflows
CI/CD: Jenkins, GitHub Actions, GitLab CI
Data Architecture Skills
Data modelling (dimensional, relational, NoSQL)
Database design and optimization
Batch and real-time pipeline architecture
Data mesh/data fabric architectures
Data lake and Lakehouse implementation
Understanding of API design and development and Microservices architecture is a plus
What You’ll Do
Technical Guidance :
You will provide technical leadership to a team of excellent software engineers; this requires that you have the technical depth to make complex design decisions and the hands-on ability to lead by example.
Execution and Delivery :
You will be expected to instill and follow good software development practices and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as be able to adapt these to the needs of the business, with a constant focus on product quality.
Team management :
You will be responsible for hiring and mentoring your team; helping individuals grow in their careers, having constant dialogue about their aspirations and sharing prompt, clear and actionable feedback about performance.
Technical depth:
You have the strong technical competence required to gain credibility. Ability to architect, design and code yourself. Technical experience in building and operating cloud native applications and microservices. Deep understanding of all layers of the web-stack work (from the client interface to the database.) Knowledge of multiple technology stacks/languages/tools and their pros/cons.
Execution ability :
Focus on delivering products in a timely manner with high quality. Familiarity with multiple…