Data Architect

20 hours ago


Bengaluru, Karnataka, India ThoughtFocus Full time ₹ 15,00,000 - ₹ 20,00,000 per year

ThoughtFocus is seeking a visionary Data Analytics Lead to guide and inspire our data delivery team supporting a capital markets client specializing in private markets and alternative investment strategies. This role requires a blend of technical expertise, leadership acumen, and domain experience in capital markets and private markets. As a Data Analytics Lead at ThoughtFocus, you will play a pivotal role in driving strategic initiatives, leveraging advanced analytics, and fostering a culture of innovation and excellence.

Must have experience in Private Equity/Private Credit/CLOs Exp required - 15 yrs. Key ResponsibilitiesTeam Leadership & Delivery Excellence:

  • Lead a cross-functional team comprising data architects, analysts, business SMEs, and technologists to deliver high-impact data analytics solutions.
  • Define and enforce best practices for efficient, scalable, and high-quality delivery.
  • Inspire a culture of collaboration, accountability, and continuous improvement within the team.

Strategic Data Leadership:

  • Develop and execute a data strategy aligned with client business objectives, ensuring seamless integration of analytics into decision-making processes.
  • Collaborate with stakeholders to translate business needs into actionable data solutions, influencing strategic decisions.

Technical and Architectural Expertise:

  • Architect and oversee data platforms, including SQL Server, Snowflake, and Power BI, ensuring optimal performance, scalability, and governance.
  • Lead initiatives in Data Architecture, Data Modeling, and Data Warehouse (DWH) development, tailored to alternative investment strategies.
  • Evaluate emerging technologies, such as big data and advanced analytics tools, and recommend their integration into client solutions.
  • Champion data quality, integrity, and security, aligning with compliance standards in private equity and alternative investments.

Performance & Metrics:

  • Define and monitor KPIs to measure team performance and project success, ensuring timely delivery and measurable impact.
  • Collaborate with stakeholders to refine reporting, dashboarding, and visualization for decision support.

Governance & Compliance:

  • Establish robust data governance frameworks in partnership with client stakeholders.
  • Ensure adherence to regulatory requirements impacting private markets investments, including fund accounting and complianceWhat's on offer
  • Competitive and above-market salary.
  • Flexible hybrid work schedule with tools for both office and remote productivity.
  • Hands-on exposure to cutting-edge technology and global financial markets.
  • Opportunity to collaborate directly with international teams in

New York and London. Candidate ProfileExperience:

  • 15 years of progressive experience in program or project management within the capital markets and financial services sectors.
  • Demonstrated expertise in SQL Server, Snowflake, Power BI, ETL processes, and Azure Cloud Data Platforms.
  • Hands-on experience with big data technologies and modern data architecture.
  • Proven track record in delivering projects emphasizing data quality, integrity, and accuracy.
  • Deep understanding of private markets, including areas such as private equity, private credit, CLOs, compliance, and regulations governing alternative investments.

Leadership & Collaboration:

  • Exceptional problem-solving skills and decision-making abilities in high-pressure, dynamic environments.
  • Experience leading multi-disciplinary teams to deliver large-scale data initiatives.
  • Strong client engagement and communication skills, fostering alignment and trust with stakeholders.

Preferred Certifications:

  • Relevant certifications (e.g., CFA, Snowflake Certified Architect, or Microsoft Power BI Certified).

Education

  • Bachelor's degree in computer science, IT, Finance, Economics, or a related discipline.

Advanced degrees (MBA, MS in Computer Science, or related fields) preferred.


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