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
Technical Skills Required
Benefits & Perks
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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