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Azure Data Lake Architect

Job Description

  • Location: Warren, NJ
  • Type: Right to Hire
  • Job #67396

Our client, a leading reinsurance company is hiring a Senior DataLake Architect on a contract basis.

Work Location: 

Warren, NJ

Summary: 

The client is beginning an Azure data lake implementation and are looking to hire a senior data lake architect who can help us with design (or validate ours) and implement based on best practices. We need someone who has done several implementations

3-6 month assignment

Start: ASAP

Remote role -ideally NY/NJ/PA…. will consider out of area for the right person

Implementation for foundation and blueprint of DataLake

Senior with multiple implementations, help to roadmap, avoid mistakes

Architect Level – thought behind implementation

Required Skills:

• Azure Data Lake, Azure Synapse

• Azure Data Factory

• Need to know Setting up security around DataLake, setting up controls, processes, blueprint to use

• Azure Data Lake Storage

Microsoft Azure exp stack

Know to ingest data into Datalake

Databricks – analytical tool

• Azure Role based access control

• Design a data storage structure

• Design an Azure Data Lake solution

• Recommend file types for storage

• Recommend file types for analytical queries

• Design for efficient querying

• Design for data pruning

• Design a folder structure that represents the levels of data transformation

• Design a distribution strategy

• Design a partition strategy:

• Design a partition strategy for files

• Design a partition strategy for analytical workloads

• Implement physical data storage structures: compression, partitioning, sharding, different table geometries with Azure Synapse Analytics pools | data redundancy | implement distributions | implement data archiving

• Implement the serving layer: deliver data in a relational star schema, deliver data in Parquet files, maintain metadata, implement a dimensional hierarch Design and Develop Data Processing

• Ingest and transform data using Spark, T-SQL, Data Factory, Synapse Pipelines

• Implement stream and batch pipelines Design and Implement Data Security

• Data policies and standards: masking, encryption, row level and column level security, RBAC,

• Data retention, auditing

Manage sensitive information Monitor and Optimize Data Storage and Data Processing

• Implement logging used by Azure Monitor, configure monitoring service

• Measure and improve data pipeline performance, cluster performance, query performance

• Manage storage related optimizations like compaction, handling data skews, tune queries using indexing, cache, trouble failed spark jobs

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