Senior Data Architect

Remote
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AI Summary

We are seeking a highly experienced Senior Data Architect to lead the design and implementation of our data architecture. The ideal candidate will have a strong background in data engineering, data platform development, and data architecture. They will be responsible for designing and implementing lakehouse architectures and cloud data ecosystems.

Key Highlights
Design and implement lakehouse architectures and cloud data ecosystems
Lead the development of data engineering and data platform solutions
Collaborate with cross-functional teams to deliver analytics and data platform solutions
Technical Skills Required
Python Apache Spark Databricks Delta Lake Databricks SQL Workflow orchestration Azure Data Services ADF ADLS Azure SQL Synapse Analytics Stream Analytics Terraform ARM Bicep
Benefits & Perks
100% remote work
Contract or full-time employment
6+ month contract duration
Budget: 1.2 LPM to 1.5 LPM

Job Description


Data Architect - 100% Remote

Location - 100% Remote

Job Type - Contract, Full Time

Duration - 6+ Months

Budget - 1.2 LPM to 1.5 LPM

Experience - 12+ Years




Minimum Qualifications

 Bachelor’s Degree in Computer Science, Engineering, MIS, or a related field.

 12+ years of experience in total along with strong data engineering or data

platform development background and with at least 3+ years in data architecture

roles.

 3+ years of experience with Databricks, including Unity Catalog, Delta Lake,

Databricks SQL, and Workflow orchestration.

 Strong proficiency with Python, Apache Spark, and distributed data processing

frameworks.

 Advanced SQL expertise, including performance tuning, indexing, and

optimization for large datasets.

 Proven experience designing and implementing lakehouse architectures and

cloud data ecosystems.

 Hands-on experience with Azure Data Services: ADF, ADLS, Azure SQL, Synapse

Analytics, Stream Analytics or Fabric equivalents.

 Strong understanding of data modelling principles (3NF, dimensional modelling,

Kimball, Inmon) and enterprise data warehouse concepts.

 Prior consulting experience delivering analytics or data platform solutions to

enterprise clients.

 Familiarity with CI/CD pipelines and IaC tools (Terraform, ARM, Bicep).





Preferred Qualifications

 Demonstrate examples of creating the strategy and implementing infrastructure

to support different environments using automation of CI/CD pipelines, GIT, and

other tools.

 Experience with Microsoft Fabric or other emerging cloud analytics platforms.

 Exposure to Big Data platforms (HDFS, Hive, Pig, MapReduce) and general DBMS

systems (Oracle, DB2, MySQL).

 Exposure to NoSQL ecosystems such as Cassandra, MongoDB, HBase,

CouchDB.



 Experience with BI and reporting tools (Power BI, Qlik, Tableau, Cognos,

MicroStrategy).

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