We help clients turn data into decisions no matter where it lives-in apps, on-prem, in a hybrid model, or in the cloud.

Senior Data Architect

Data EngineerData EngineerFull TimeRemoteTeam 1,001-5,000Since 2007H1B SponsorCompany Site LinkedIn

Location

United States

Posted

20 days ago

Salary

Not specified

Bachelor Degree12 yrs expExperience acceptedEnglishBig QueryCloudETLPy SparkSQL

Job Description

• More than 12+ years of IT experience • Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more) • Deep knowledge of data modeling, data warehousing, and lakehouse patterns • Hands‑on experience with at least one modern data platform: • Microsoft Fabric and/or Databricks strongly preferred • Experience integrating data platforms with applications using APIs, services, or event‑driven patterns • Solid understanding of cloud architecture concepts (security, networking, scalability, cost management) • Strong communication skills with the ability to engage both technical and business stakeholders • Experience working in client‑facing or consulting environments

Job Requirements

More than 12+ years of IT experience
Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more)
Deep knowledge of data modeling, data warehousing, and lakehouse patterns
Hands‑on experience with at least one modern data platform:
Microsoft Fabric and/or Databricks strongly preferred
Experience integrating data platforms with applications using APIs, services, or event‑driven patterns
Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
Strong communication skills with the ability to engage both technical and business stakeholders
Experience working in client‑facing or consulting environments
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
Key Skills:
Data Architect
Data warehouse
Lakehouse (Databricks or Microsoft Fabric)
Datalake
ADF/Synapse/Data Pipelines(ETL/ELT)
Strong SQL and Pyspark knowledge
CI/CD Experience