Senior Data Architect - London, United Kingdom - HCLTech

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    Job Description

    Data Solution Architect:-

    Proven experience as architect and engineering lead in Data & Analytics stream

    In-depth understanding of data structure principles and data platforms

    Problem-solving attitude, solution mindset with implementation expertise

    Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization

    Well-versed with the end2end data management philosophies and governance processes

    Has pre-sales experience and have involved in RFP/RFI/RFQ processes

    Creative problem-solver with strong communication skills

    Excellent understanding of traditional and distributed computing paradigm

    Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts.

    Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries

    Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:

    Data integration – ETL tools like Talend and Informatica. Ingestion mechanism like Flume & Kafka

    Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage.

    Data visualization – Tools like Tableau

    Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM. Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.

    Data processing frameworks – Spark & Spark streaming

    Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required

    Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.

    Experience in cloud data eco-system - AWS, Azure or GCP

    Demonstrate strong analytical and problem solving capability.

    Good understanding of the data eco-system, both current and future data trends.

    10+ years of experience in the data engineering space with at least few complex & high volume data projects as an architect is mandatory.