Associate Technical Architect

Minimum 8+ years of hands on
experience in designing, building and operationalizing large scale enterprise
data warehouse solutions. 
Practical hands-on experience with
the following areas of DW/BI: ETL, Data Analysis, Data Modelling/Architecture,
Reporting, DW Quality Assurance, Master & Metadata Management, Data
Governance, Data Lineage, Big Data, Data Security, Performance Tuning, BI/ DW
Solution Architecture and BI/DW infrastructure. 
Experience with streaming data
processing and Big Data technologies such as Hadoop/Hive/Spark/Databricks.
•Good knowledge of designing and building data pipelines from ingestion to
consumption within a big data architecture using Java / Python / Scala. 
Hands-on experience with modern
enterprise data architectures and data toolsets (ex: data warehouse, data
marts, data lake, data lakehouse, 3NF, data vault, NoSQL and dimensional
models, modelling tools, profiling tools) Experience in data security including
data tokenization, data encryption and data masking 
Excellent problem-solving skills,
with the ability to make effective and timely decisions, strong analytical
skills with demonstrated ability to analyse and make recommendations on
solutions. Knowledge of data architecture and design patterns and the ability
to apply them. 
Ability to learn and adapt quickly as
well as ability to conceptualize and articulate ideas clearly and concisely. Wear many hats, gain experience with tools/technologies and platforms across
many technology stacks. Comprehensive knowledge and understanding of the power
and value of data with an ability to apply technology solutions to meet
business needs and deliver organizational strategy. 
Excellent communication, presentation
and interpersonal skills with experience of successfully winning over audiences
with compelling and persuasive presentations (Pre-sales).