{"id":2840879,"url":"https://alion.io/job/solera-lead-software-engineer-2","title":"Lead Software Engineer","company":{"id":99637,"name":"Solera","domain":"solera.com","url":"https://alion.io/company/solera","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":76,"ghost_share":0,"stale_share":0.079,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Db2","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Hadoop","optional":false},{"name":"InfluxDB","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Terraform","optional":false},{"name":"Time Series","optional":false},{"name":"TimescaleDB","optional":false},{"name":"UML","optional":false}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-25T03:03:24Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Who We Are\nSolera 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\nThe Role\nWe’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.\nWhat You’ll Do\nDrive innovations by keeping current on emerging cloud technologies\nAct as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS, focusing on data warehouse and big data solutions.\nArchitect end-to-end data solutions, including data collection and storage, data modelling, and data consumption.\nProvide guidance in migration and transfer of multi-terabyte databases or data warehouses from one data-tier technology to another, based on enterprise strategy.\nData 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.\nPartner with Application Architects to design data-intensive applications with APIs and streaming data pipelines.\nDesign solutions to prepare and transform data into a usable state for multi-platform consumption.\nCreate 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\nKey Responsibilities\nLead the design, development, and maintenance of our data engineering infrastructure\nArchitect and implement scalable data pipelines for batch and real-time processing\nEstablish best practices, coding standards, and technical documentation\nMentor and provide technical guidance to junior data engineers\nCollaborate with data scientists, analysts, and business stakeholders to understand data requirements\nOptimize data models and database designs for performance and reliability\nImplement data quality controls and monitoring systems\nEvaluate and recommend new data technologies and tools\nDeploy and manage cloud-based data solutions (AWS/Azure/GCP)\nEnsure data security, compliance, and governance standards are met\nWhat You’ll Bring\nBachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred) \n10+ years of experience in data engineering roles \n2+ years of experience in a technical leadership position\nUtilizing Real-Time, Batch, and NoSQL/SQL.\nProficiency in data warehousing, data modelling, ETL design, and optimization \nDeep understanding of data enrichment, transformation, security, movement, data architecture, golden record, and data integrity.\nExperience with big data technologies (e.g., Hadoop, Spark, Kafka)\nExperience with data orchestration tools (Airflow, Luigi, etc.).\nFamiliarity with AWS migration services like Database Migration Service (DMS) and Server Migration Service (SMS).\nTechnical Skills\nProgramming Languages:Python, SQL, Java, Scala\nBig Data Technologies:Apache Spark, Hadoop, Kafka, Hive\nAny Cloud Platforms:\nAWS (S3, EC2, RDS, Lambda, DynamoDB, Glue)\nAzure (Data Factory, Synapse, Databricks)\nGCP (Big Query, Dataflow, Dataproc)\nData Warehousing:Snowflake, Redshift, Big Query, Fabric Data Warehouse\nETL/ELT Tools:Airflow, dbt, Informatica, Talend, Glue \nDatabases:\nRelational: PostgreSQL, MySQL, SQL Server, Oracle\nNoSQL: MongoDB, Cassandra, DynamoDB\nTime-series: Influx DB, Timescale DB\nContainer & Orchestration:Docker, Kubernetes\nInfrastructure as Code:Terraform, CloudFormation\nVersion Control:Git, GitLab/GitHub workflows\nCI/CD:Jenkins, GitHub Actions, GitLab CI\nMonitoring & Observability:Datadog, Grafana\nData Architecture Skills\nData modeling (dimensional, relational, NoSQL)\nDatabase design and optimization\nBatch and real-time pipeline architecture\nData mesh/data fabric architectures\nData lake and Lakehouse implementation\nAPI design and development\nMicroservices architecture\nLeadership Skills\nExperience leading data/analytics engineering teams\nAbility to translate business requirements into technical solutions\nStrong communication skills to present insights to stakeholders\nTrack record of improving data quality and analytics processes\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred) \nHands-on technical involvement\nExperience with agile development practices\nStrong problem-solving and debugging skills\n**Product Based Company Experience 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