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Data Architect
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Data Architect

Gangadhar S's profile picture
Posted by Gangadhar S
12 - 20 yrs
₹30L - ₹50L / yr
Bengaluru (Bangalore)
Skills
Data Lake
Data modeling
Data Pipeline,
Architecture
Big Data
Microsoft Windows Azure
Snowflake
databricks
skill iconGitHub
skill iconJenkins
SQL
skill iconPython
PowerBI
CI/CD
GDPR

Job Purpose


We are seeking a highly skilled Data Architect to join our Financial Business Automation Products group. The ideal candidate will have a deep understanding of data architecture principles, extensive experience with data modeling, and the ability to design and implement scalable data solutions in financial domains. As a Data Architect, you will develop and maintain the data strategy, governance, security, and availability for the suite of products developed by Acuity and used by Acuity clients. The individual must be familiar with Gen AI technologies and adapt at creating data strategy to allow the Gen AI based LLMs use the data infrastructure to provide relevant outcomes.


Key Responsibilities


• Platform Design and Architecture:

o Lead the design and development of the data platform architecture, ensuring scalability, performance, reliability, and security

o Define and implement Standards for data modeling, data integration, and data lifecycle management

o Well versed with modern data platform stack with end-end coverage to build large scale Data and AI solutions

o Create blueprints for data pipelines, data lakes, data warehouses, and analytical systems

o Provide technical leadership in choosing appropriate technologies for data processing, cloud compute, and storage solutions

• Technical Solutions and Roadmap: o Influence enterprise architecture design conversations and deliver sophisticated data solutions

o Work closely with leaders, data engineers, data scientists, and analysts to define and refine data platform requirements

o Lead cross-functional teams to develop and integrate new data products and solutions

o Understand business needs and translate them into data solutions and architecture roadmap that add value to the organization

• Cloud usage and Governance

o Design and implement cloud-based solutions for data processing and storage (e.g. Azure, Snowflake, Databricks, GCP etc)

o Optimize cloud resources for cost efficiency, performance, and availability

o Ensure the security and compliance of data platforms, addressing regulatory and privacy concerns

o Develop strategies to enforce data governance policies, ensuring data quality, consistency, and integrity across systems

o Design data security measures and control access to sensitive data through role-based access and encryption

• Innovation & Continuous Improvement:

o Stay up-to-date with emerging technologies and trends in data architecture, big data, cloud computing, and AI

o Recommend and lead initiatives to improve the performance, scalability, and efficiency of data processing and storage systems

o Act as the Data Architecture subject matter expert to drive the innovation for the company

• Documentation and Technical design:

o Produce detailed documentation for platform architecture, data models, and data workflows

o Well versed with technical design, diagrams, and documentation tools • AI Integration:

o Collaborate with AI/ML teams to ensure data architectures support Gen AI initiatives.

o Enable real-time and batch data processing for AI model training and deployment.



Technology and Tools:


• 10+ years experience in designing and implementing end-to-end data platforms, including data lakes, data warehouses, and data integration pipelines.

• Experience designing and developing low-latency and high-throughput enterprise grade data architecture ecosystem

• Knowledge of relational and non-relational databases, and big data technologies (e.g., Hadoop, Spark, Kafka).

• Expertise in cloud platforms Azure, Snowflake, Databricks, Github, Jenkins etc

• Strong knowledge of ETL processes and tools for real-time data processing

• Proficiency in building data solutions using tools like Apache Kafka, Apache Airflow, and dbt (Data Build Tool) and Python

• Strong understanding of SQL and data querying best practices

• Proficiency in managing and deploying solutions on cloud platforms such as Azure, Snowflake, Databricks

• Experience with data encryption, privacy, and security best practices, including GDPR compliance

• Excellent problem-solving and communication skills

• Strong scripting skills in Python, Shell, or similar languages for automation and process optimization

• Familiarity with CI/CD pipelines, version control (Git), and deployment automation tools (Jenkins, Terraform)

• Familiarity with BI tools such as Tableau, Power BI, or Looker, as well as experience working with data scientists and analysts to support analytical workloads

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About Acuity Knowledge Partners

Founded :
2019
Type :
Products & Services
Size :
5000+
Stage :
Profitable

About

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 500 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide.

We EMPOWER our clients to drive revenues higher. We INNOVATE using our proprietary technology and automation solutions. Finally, we enable our clients to TRANSFORM their operating model and cost base.

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We EMPOWER our clients to drive revenues higher. We INNOVATE using our proprietary technology and automation solutions. Finally, we enable our clients to TRANSFORM their operating model and cost base.

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