Senior Data Consultant

• Job Application for Senior Data Consultant at Quisitive• • Back to jobsSenior Data ConsultantRemoteApplyAs one of Microsoft’s most recognized global partners, Quisitive sits at the forefront of cloud transformation, enterprise data strategy, cybersecurity, and the emerging frontier of agentic AI. Here, consultants and technologists operate on the edge of innovation—supported by a culture that values craftsmanship, open collaboration, and technical expertise. If you’re looking for a place where you can innovate, solve complex problems, and build solutions that make a measurable impact, join us.​

It is a very exciting time of growth for our Data & AI practice, and we are currently hiring a Senior Data Consultant to provide technical excellence for the team.

What will this role entail?

As a Senior Data Consultant you will design, build, and maintain scalable data pipelines and analytics solutions on the Microsoft Azure platform. In this role, you will work with cutting-edge technologies – including Azure Databricks, Azure Synapse Analytics pipelines, and Microsoft Fabric – to empower our business with timely, accurate data. The ideal candidate is proficient in Azure data services, has a strong background in data engineering (ETL/ELT), and is excited about optimizing data systems from the ground up.

Key Responsibilities:

• Design & Develop Data Pipelines: Create end-to-end data pipelines using Azure tools (e.g., Azure Data Factory and Synapse Pipelines) to ingest, transform, and load data from various sources into data lakes, data warehouses, and other storage solutions

• Azure Databricks & Spark Processing: Utilize Azure Databricks (Spark) for big data processing tasks. Develop and optimize PySpark/Scala jobs to cleanse, transform, and aggregate large datasets in both batch and real-time streaming modes

• Data Warehousing & Modeling: Build and maintain data warehouses/lakehouses on Azure Synapse or Microsoft Fabric. Design star-schema or snowflake data models that enable efficient analytics and reporting, implementing best practices for performance and maintainability

• Optimize & Monitor Workloads: Tune queries, pipelines, and Spark jobs for performance and cost-efficiency. Monitor pipeline runs, data storage, and processing metrics to ensure reliability and address issues proactively (set up alerts, logging, and automation for failures/retries)

• Collaborate with Teams: Work closely with data analysts, BI developers, and data scientists to understand data needs. Provide clean, well-structured data sets that meet business requirements. Collaborate with cloud architects to ensure solutions are aligned with Azure best practices

• Implement Data Quality & Security: Ensure data quality through validation checks and testing. Implement data security measures such as encryption, access control (Azure RBAC), and data masking as needed. Maintain data governance standards and documentation for data pipelines and datasets

• Stay Current & Innovate: Continuously research and suggest new ways to improve existing data architecture. Stay up-to-date with the latest Azure data services (like Microsoft Fabric and other emerging technologies) and bring innovative ideas to optimize our data platform

What’s required to be successful in this role?

• 5+ years of experience in data engineering or BI development, with a focus on the Azure cloud data platform

• Azure Data Services Expertise: Hands-on experience with Azure Databricks, Azure Synapse Analytics (particularly Synapse pipelines and SQL pools), Azure Data Factory, and Azure Data Lake Storage. Familiarity with Microsoft Fabric or eagerness to learn it, as we are adopting Fabric for unified analytics

• Programming & DB Proficiency: Strong coding skills in Python (for data manipulation and scripting) and SQL (for querying and transforming data)

• ETL/ELT and Data Modeling: Proven ability to design and implement ETL/ELT workflows. Solid understanding of relational databases and data modeling concepts (normalization, dimensional modeling)

• Experience building data warehouses or data marts on Azure (SQL Database/Synapse)

• Working knowledge of Purview for Data Governance

What else would set me apart?

• Experience developing data processing scripts/notebooks in PySpark or Spark SQL

• Knowledge of Scala or .NET for data engineering

• Previous experience with a Microsoft systems integrator

• Microsoft Fabric Data Engineer Associate Certification

We are looking for curious initiative takers to join our team, so if you are passionate about working with smart people that are committed to accomplishing great things, then apply today!

Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

About Quisitive​

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With significant growth since 2016, Quisitive is rapidly progressing our vision of becoming the leading global Microsoft partner as we continue to expand across the United States, Canada and India. With a diversified delivery model that includes both nearshore and offshore capabilities, our team of Microsoft experts delivers cloud solutions, artificial intelligence and business applications that transform our clients’ businesses and achieve remarkable business outcomes. ​

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