Job
Description
As a Data Architect, you are required to: Design & develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures Build and analyze large, structured and unstructured databases based on scalable cloud infrastructures Develop prototypes and proof of concepts using multiple data-sources and big-data technologies Process, manage, extract and cleanse data to apply Data Analytics in a meaningful way Design and develop scalable end-to-end data pipelines for batch and stream processing Regularly scan the Data Analytics landscape to stay up to date with latest technologies, techniques, tools and methods in this field Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain Qualification : Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Engineering / Analytics is desirable. Experience level : Minimum 8 years in software development with at least 2 - 3 years hands-on experience in the area of Big-data / Data Engineering. Desired Knowledge & Experience: Data Engineer - Big Data Developer Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming Knowing Spark internals: Catalyst/Tungsten/Photon Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot Test: pytest, Great Expectations CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction Languages: Python/Functional Programming (FP) SQL: TSQL/Spark SQL/HiveQL Storage: Data Lake and Big Data Storage Design Additionally it is helpful to know basics of: Data Pipelines: ADF/Synapse Pipelines/Oozie/Airflow Languages: Scala, Java NoSQL: Cosmos, Mongo, Cassandra Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model SQL Server: TSQL, Stored Procedures Hadoop: HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka Data Catalog: Azure Purview, Apache Atlas, Informatica Big Data Architect Expert: in technologies, languages and methodologies mentioned in Data Engineer - Big Data Developer Mentor: mentors/educates Developers in technologies, languages and methodologies mentioned in Data Engineer - Big Data Developer Architecture Styles: Lakehouse, Lambda, Kappa, Delta, Data Lake, Data Mesh, Data Fabric, Data Warehouses (e.g. Data Vault) Application Architecture: Microservices, NoSql, Kubernetes, Cloud-native Experience: Many years of experience with all kinds of technology in the evolution of data platforms (Data Warehouse -> Hadoop -> Big Data -> Cloud -> Data Mesh) Certification: Architect certification (e.g. Siemens Certified Software Architect or iSAQB CPSA) Required Soft-skills & Other Capabilities: Excellent communication skills, in order to explain your work to people who don't understand the mechanics behind data analysis Great attention to detail and the ability to solve complex business problems Drive and the resilience to try new ideas, if the first ones don't work Good planning and organizational skills Collaborative approach to sharing ideas and finding solutions Ability to work independently and also in a global team environment.
