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TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

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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


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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