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

The Role
We're looking for a hardworking, success-oriented team player who knows the ins and outs of data and can work in a fast-paced environment. If you're constantly researching new and exciting uses of technology, we want to talk to you.

What You'll Do

Drive innovations by keeping current on emerging cloud technologies
Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS, focusing on data warehouse and big data solutions.
Architect end-to-end data solutions, including data collection and storage, data modelling, and data consumption.
Provide guidance in migration and transfer of multi-terabyte databases or data warehouses from one data-tier technology to another, based on enterprise strategy.
Data Modelling: Expertise in data modelling techniques and tools, such as ER modelling, dimensional modelling, and UML (Unified Modelling Language). Design conceptual and logical data models and flowcharts, including source-to-target mappings, transforms, and data lineage.
Partner with Application Architects to design data-intensive applications with APIs and streaming data pipelines.
Design solutions to prepare and transform data into a usable state for multi-platform consumption.
Create data architecture, engineering and migration patterns for MSSQL, MYSQL, Oracle, IBM DB2 assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting Solera Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in AWS

Key Responsibilities

Lead the design, development, and maintenance of our data engineering infrastructure
Architect and implement scalable data pipelines for batch and real-time processing
Establish best practices, coding standards, and technical documentation
Mentor and provide technical guidance to junior data engineers
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
Optimize data models and database designs for performance and reliability
Implement data quality controls and monitoring systems
Evaluate and recommend new data technologies and tools
Deploy and manage cloud-based data solutions (AWS/Azure/GCP)
Ensure data security, compliance, and governance standards are met

What You'll Bring

Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred)
10+ years of experience in data engineering roles
2+ years of experience in a technical leadership position
Utilizing Real-Time, Batch, and NoSQL/SQL.
Proficiency in data warehousing, data modelling, ETL design, and optimization
Deep understanding of data enrichment, transformation, security, movement, data architecture, golden record, and data integrity.
Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
Experience with data orchestration tools (Airflow, Luigi, etc.).
Familiarity with AWS migration services like Database Migration Service (DMS) and Server Migration Service (SMS).

Technical Skills

Programming Languages: Python, SQL, Java, Scala
Big Data Technologies: Apache Spark, Hadoop, Kafka, Hive
Any Cloud Platforms:
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
ETL/ELT Tools: Airflow, dbt, Informatica, Talend, Glue
Databases:
Relational: PostgreSQL, MySQL, SQL Server, Oracle
NoSQL: MongoDB, Cassandra, DynamoDB
Time-series: Influx DB, Timescale DB
Container & Orchestration: Docker, Kubernetes
Infrastructure as Code: Terraform, CloudFormation
Version Control: Git, GitLab/GitHub workflows
CI/CD: Jenkins, GitHub Actions, GitLab CI
Monitoring & Observability: Datadog, Grafana
Data Architecture Skills
Data modeling (dimensional, relational, NoSQL)
Database design and optimization
Batch and real-time pipeline architecture
Data mesh/data fabric architectures
Data lake and Lakehouse implementation
API design and development
Microservices architecture

Leadership Skills

Experience leading data/analytics engineering teams
Ability to translate business requirements into technical solutions
Strong communication skills to present insights to stakeholders
Track record of improving data quality and analytics processes

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred)
Hands-on technical involvement
Experience with agile development practices
Strong problem-solving and debugging skills
..Product Based Company Experience Mandatory

Lead Software Engineer

Lead Software Engineer

Lead Software Engineer (Pega)

Lead Software Engineer

Lead Software Engineer (CU/L3)