Data Architect

Role: Data Architect (Data Science & Advanced Analytics)

Experience: 10-12 Years

Location: Hyderabad / Mumbai

about alliantgroup

alliantgroupis a global professional services firm (PSF) that is focused on providing business consulting, digital transformation, taxation (Credits and Incentives), and accounting services. The purpose of the firm is to strengthen American businesses. The company was founded in 2002 and is headquartered in Houston, Texas. In the US we have offices in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, and Washington, D.C. In UK we have offices in London and Bristol. We also have an office in Hyderabad, India.

alliantgroup

https://youtu.be/nM_9fXXwyrg

alliantTALENT:

alliantTALENT subsidiary of alliantgroup was incorporated several years back in Hyderabad. It has over 1,000 employees who provide professional services to US and UK clients. Our Core Values that focus on Exceptional Client Experience, High Performance, and People development set us apart from other PSFs.

At alliantTalent, professionals get an exceptional opportunity to work directly with US and UK client. This is also one of our key differentiating factors. They also get the opportunity to work on cross-service line projects, enabling them to become more rounded professionals.

Data Architect

What will be your responsibilities:

Data Science Solutioning

• Architect end-to-end solutions for advanced analytics, machine learning, and AI-driven projects.
• Design frameworks for experimentation, model deployment, and monitoring at scale.
• Enable seamless integration of data science workflows into enterprise data platforms.

Data Architecture

• Define modern data architectures leveraging Microsoft Fabric (Lakehouse, Synapse Data Warehouse, Data Factory, Power BI).
• Build scalable data ecosystems that support real-time analytics, predictive insights, and decision intelligence.
• Establish standards for data quality, governance, and lineage.

Analytics Enablement

• Partner with data scientists and analysts to provide high-quality, curated datasets for modeling.
• Drive adoption of self-service analytics and democratization of data across business units.
• Enable advanced visualization and storytelling through BI tools.

Leadership & Collaboration

• Act as a thought leader in data science architecture and solution design.
• Mentor teams on best practices in big data analytics and AI.
• Collaborate with stakeholders to align data science initiatives with business goals

What are we looking for:

Core Experience

• 1012 years of industry experience in data architecture, data science, and advanced analytics.
• Proven expertise in solutioning large-scale

  big data and AI projects

  .

Technical Expertise

• Microsoft Fabric

  (Lakehouse, Synapse, Data Factory, Power BI integration).
• Cloud platforms:

  Azure

  (preferred), AWS, or GCP.
• Big Data & ML platforms:

  Databricks, Spark MLlib, TensorFlow, PyTorch, Scikit-learn

  .
• Programming:

  Python, R, SQL, Scala

  .
• Databases:

  Snowflake, Azure SQL DB, NoSQL (MongoDB, Cosmos DB)

  .
• Visualization:

  Power BI, Tableau

  .
• Experience with

  MLOps frameworks

  (MLflow, Azure ML).

Soft Skills

• Strong analytical and solution-oriented mindset.
• Excellent communication and stakeholder engagement skills.
• Ability to lead projects under tight timelines with immediate availability.

Preferred Qualifications

• Experience with

  real-time streaming analytics

  (Kafka, Event Hub).
• Exposure to

  AI/ML model lifecycle management

  in enterprise environments.
• Knowledge of

  data governance frameworks

  and ethical AI practices.

What we offer:

With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.

Join us and bring your curiosity to life!