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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Business Intelligence engineering, data analytics, and regulatory compliance, with a strong focus on Azure Data Platform and data pipeline architecture. Proven ability to lead cross-functional teams and mentor data professionals while delivering actionable insights and managing complex data projects.
Highest-signal resume keywords
Business Intelligence EngineeringAzure Data PlatformData Pipeline ArchitectureClient Consulting ExperienceTeam Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonRETL/ELT ProcessesData WarehousingData Lake ImplementationsAdvanced AnalyticsStatistical ModelingMachine LearningData Governance
Soft Skills
Analytical SkillsVerbal CommunicationWritten CommunicationMentoringCross-Functional Collaboration
Tools & Technologies
Microsoft SQL ServerAzure Data FactoryAzure Synapse AnalyticsTableauPower BIDBTSnowflakeAzure Logic AppBig Data TechnologiesAgile Development Practices
Certifications & Qualifications
BI Certifications
Industry Keywords
Financial ServicesData AnalyticsData ManagementRegulatory ComplianceClient Proposals
Tech Stack
Tools & technologiesAzureETLMS SQL ServerPythonSQLTableau
About the role
Key responsibilities & impact- Serve as a subject matter expert on Business Intelligence engineering platforms, including Microsoft SQL Server, Azure Data Platform, Snowflake, and DBT.
- Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks.
- Use advanced analytics, machine learning, and statistical modeling to detect anomalous activity and transaction patterns.
- Ensure data quality and integrity through data management and governance practices.
- Mentor and lead data analysts, consultants, and other team members.
- Facilitate cross-functional collaboration to integrate data-driven insights into business strategies.
- Develop frameworks aligned with regulatory changes and compliance requirements.
- Translate regulatory requirements into actionable data analytics strategies with legal and compliance teams.
- Contribute to client proposals and presentations and represent the organization at industry events.
- Drive internal innovation by identifying emerging technologies and methodologies.
- Participate in presales engagements, including conceptual solution design, effort estimation, technical and functional solutioning, execution methodology, project planning, and team planning.
- Participate in systems development planning and monitoring, coordinate with other groups, review deliverables, and communicate status to project managers and clients.
- Architect, implement, deploy, and support analytical databases and pipelines in Azure.
- Create proofs of concept for architectural vision, strategy, and tool evaluation.
- Document, diagram, and present complex technical material to non-technical audiences.
- Create and deploy accurate client architectures and analyses within short timelines.
- Work the 5:00 PM–2:00 AM IST shift.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, Information Systems, Business Analytics or a related field is required.
- At least 7–10 years of progressive experience in data analytics, consulting, or financial services.
- 8+ years of hands-on experience in enterprise data warehouse and data lake implementations.
- 5+ years of external client consulting experience.
- 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems.
- 5+ years of team management experience, including offshore resources.
- 5+ years of experience leading multiple external client projects simultaneously.
- 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities.
- 3+ years of in-depth experience architecting, designing, and implementing complex data architectures on Azure, including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics.
- Proven track record in managing complex data projects and leading cross-functional teams.
- Experience working with large datasets, data warehousing, and advanced analytics tools.
- Experience mentoring teammates or conducting technical training.
- Strong analytical and verbal/written communication skills.
- Certifications in BI are expected.
- Experience in or consulting for financial services clients is highly desirable.
- Proficiency in Python, R, and SQL.
- Experience with Tableau or Power BI and big data technologies.
- Experience with agile development practices.
Benefits
Comp & perks- Comprehensive benefits package
- Flexible work with work-life balance
- Career coaching and career development support
- Inclusive culture valuing diversity
- Opportunities for career growth and leadership
- Professional growth opportunities